Triple
T15568020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arganil |
E374165
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Celavisa
Celavisa is a small village in the municipality of Arganil in central Portugal, known for its rural character and surrounding natural landscapes.
|
E1165563
|
NE FINISHED |
How this triple was built (4 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: Celavisa | Statement: [Arganil, contains, Celavisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celavisa Context triple: [Arganil, contains, Celavisa]
-
A.
Retvizan
Retvizan was a pre-dreadnought battleship of the Imperial Russian Navy, built in the United States and best known for its service and damage during the Russo-Japanese War, particularly at the Battle of Port Arthur.
-
B.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
C.
Kavar
Kavar is a city in southern Iran known for its agricultural activities and location within Fars Province.
-
D.
Turrivalignani
Turrivalignani is a small Italian municipality located in the Abruzzo region, known for its hilltop setting and traditional rural character.
-
E.
Djauro
Djauro is an alternative name for the Yawuru, an Aboriginal Australian people traditionally associated with the Broome region of Western Australia.
- 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: Celavisa Triple: [Arganil, contains, Celavisa]
Generated description
Celavisa is a small village in the municipality of Arganil in central Portugal, known for its rural character and surrounding natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celavisa Target entity description: Celavisa is a small village in the municipality of Arganil in central Portugal, known for its rural character and surrounding natural landscapes.
-
A.
Retvizan
Retvizan was a pre-dreadnought battleship of the Imperial Russian Navy, built in the United States and best known for its service and damage during the Russo-Japanese War, particularly at the Battle of Port Arthur.
-
B.
Balzar
Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
-
C.
Kavar
Kavar is a city in southern Iran known for its agricultural activities and location within Fars Province.
-
D.
Turrivalignani
Turrivalignani is a small Italian municipality located in the Abruzzo region, known for its hilltop setting and traditional rural character.
-
E.
Djauro
Djauro is an alternative name for the Yawuru, an Aboriginal Australian people traditionally associated with the Broome region of Western Australia.
- F. None of above. chosen
Provenance (5 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4219a081909acca9f783ecd44b |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff50d54960819089491ccb580784b8 |
completed | May 9, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5208e9a08190b4a6f4157cf3c237 |
completed | May 9, 2026, 3:26 p.m. |
Created at: April 10, 2026, 4:10 a.m.