Triple
T16780015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Typhoon |
E407831
|
entity |
| Predicate | shipNameInWork |
P14494
|
FINISHED |
| Object |
Nan-Shan
Nan-Shan is the fictional steamship featured in Joseph Conrad’s short story “Typhoon,” on which the central storm-tossed voyage takes place.
|
E1233805
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nan-Shan | Statement: [Typhoon, shipNameInWork, Nan-Shan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nan-Shan Context triple: [Typhoon, shipNameInWork, Nan-Shan]
-
A.
Nanhutashan
Nanhutashan is one of the highest and most prominent mountain peaks in Taiwan, renowned for its alpine scenery and challenging hiking routes.
-
B.
Dabajianshan
Dabajianshan is a prominent, steep-sided peak in Taiwan famed for its distinctive block-like summit and significance in indigenous culture and mountaineering.
-
C.
Songshan
Songshan is a district in eastern Taipei, Taiwan, known for its busy transportation hubs, night markets, and mix of commercial and residential areas.
-
D.
Songshan
Songshan is one of China's Five Great Mountains, renowned as a sacred Taoist and Buddhist site and home to the historic Shaolin Monastery.
-
E.
Taoshan
Taoshan is a prominent mountain peak in Taiwan known for its scenic alpine landscapes and popular hiking trails.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nan-Shan Triple: [Typhoon, shipNameInWork, Nan-Shan]
Generated description
Nan-Shan is the fictional steamship featured in Joseph Conrad’s short story “Typhoon,” on which the central storm-tossed voyage takes place.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nan-Shan Target entity description: Nan-Shan is the fictional steamship featured in Joseph Conrad’s short story “Typhoon,” on which the central storm-tossed voyage takes place.
-
A.
Nanhutashan
Nanhutashan is one of the highest and most prominent mountain peaks in Taiwan, renowned for its alpine scenery and challenging hiking routes.
-
B.
Dabajianshan
Dabajianshan is a prominent, steep-sided peak in Taiwan famed for its distinctive block-like summit and significance in indigenous culture and mountaineering.
-
C.
Songshan
Songshan is a district in eastern Taipei, Taiwan, known for its busy transportation hubs, night markets, and mix of commercial and residential areas.
-
D.
Songshan
Songshan is one of China's Five Great Mountains, renowned as a sacred Taoist and Buddhist site and home to the historic Shaolin Monastery.
-
E.
Taoshan
Taoshan is a prominent mountain peak in Taiwan known for its scenic alpine landscapes and popular hiking trails.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipNameInWork Context triple: [Typhoon, shipNameInWork, Nan-Shan]
-
A.
shipName
chosen
Indicates the name assigned to a specific ship in the relationship.
-
B.
shipsWith
Indicates that one entity is delivered, packaged, or provided together with another entity as part of the same shipment or bundle.
-
C.
shipUsed
Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
-
D.
workStatus_OnTheCatalogueOfShips
Indicates that a work’s status is determined by whether it appears in the Catalogue of Ships section of the text.
-
E.
shipDraft
Indicates the depth of a ship’s hull below the waterline, typically representing how deeply the vessel sits in the water.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b214cebc81909de80e74b4bac5f8 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab00cf708190a2562fa14d72a4df |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00ad66a9a88190983eee72f9d23e37 |
completed | May 10, 2026, 4:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00addf7674819084f5755c2dacc741 |
completed | May 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.