Triple
T12095412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blencathra |
E288058
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Saddleback
Saddleback is an alternative name for Blencathra, a prominent mountain in England’s Lake District renowned for its distinctive ridges and popular hiking routes.
|
E965344
|
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: Saddleback | Statement: [Blencathra, alsoKnownAs, Saddleback]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saddleback Context triple: [Blencathra, alsoKnownAs, Saddleback]
-
A.
Saddleback
Saddleback is the distinctive double-peaked landmark in Southern California’s Santa Ana Mountains that serves as a prominent geographic and cultural reference point for the surrounding region.
-
B.
Runnemede
Runnemede is a small suburban borough in southern New Jersey, located within the Philadelphia metropolitan area.
-
C.
Santicon
Santicon is a barangay (village-level administrative division) of the municipality of Badian in the province of Cebu, Philippines.
-
D.
Goode
Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
-
E.
Allamagoosa
Allamagoosa is a humorous science fiction short story by Eric Frank Russell, best known for its satirical take on military bureaucracy and its 1955 Hugo Award win.
- 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: Saddleback Triple: [Blencathra, alsoKnownAs, Saddleback]
Generated description
Saddleback is an alternative name for Blencathra, a prominent mountain in England’s Lake District renowned for its distinctive ridges and popular hiking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saddleback Target entity description: Saddleback is an alternative name for Blencathra, a prominent mountain in England’s Lake District renowned for its distinctive ridges and popular hiking routes.
-
A.
Saddleback
Saddleback is the distinctive double-peaked landmark in Southern California’s Santa Ana Mountains that serves as a prominent geographic and cultural reference point for the surrounding region.
-
B.
Runnemede
Runnemede is a small suburban borough in southern New Jersey, located within the Philadelphia metropolitan area.
-
C.
Santicon
Santicon is a barangay (village-level administrative division) of the municipality of Badian in the province of Cebu, Philippines.
-
D.
Goode
Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
-
E.
Allamagoosa
Allamagoosa is a humorous science fiction short story by Eric Frank Russell, best known for its satirical take on military bureaucracy and its 1955 Hugo Award win.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91552645c81909aff601ab3d3c0e6 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6708f8881909c4f40a466bc0acf |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b6769481909d0308c8f77b2ef3 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601ebaa448190ba59485d9d7d68d1 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.