Triple
T14098995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agatu |
E339329
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Gwer West
Gwer West is a local government area in Benue State, Nigeria, known for its agrarian communities and location in the state's central region.
|
E1079959
|
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: Gwer West | Statement: [Agatu, borders, Gwer West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwer West Context triple: [Agatu, borders, Gwer West]
-
A.
Galwey
Galwey is an Irish surname most notably associated with former rugby union player Mick Galwey.
-
B.
Weyarn
Weyarn is a small Bavarian municipality in southern Germany, located in the Alpine foothills and known for its historic monastery and rural character.
-
C.
Wethau
Wethau is a small river in central Germany that flows through Saxony-Anhalt and Thuringia before joining the Saale.
-
D.
Gwenwyn
Gwenwyn is the central protagonist of the work "The Betrothed," around whom the story’s main events and relationships revolve.
-
E.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
- 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: Gwer West Triple: [Agatu, borders, Gwer West]
Generated description
Gwer West is a local government area in Benue State, Nigeria, known for its agrarian communities and location in the state's central region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gwer West Target entity description: Gwer West is a local government area in Benue State, Nigeria, known for its agrarian communities and location in the state's central region.
-
A.
Galwey
Galwey is an Irish surname most notably associated with former rugby union player Mick Galwey.
-
B.
Weyarn
Weyarn is a small Bavarian municipality in southern Germany, located in the Alpine foothills and known for its historic monastery and rural character.
-
C.
Wethau
Wethau is a small river in central Germany that flows through Saxony-Anhalt and Thuringia before joining the Saale.
-
D.
Gwenwyn
Gwenwyn is the central protagonist of the work "The Betrothed," around whom the story’s main events and relationships revolve.
-
E.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fba7c10819095b1299b7b4f0310 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd41c84408190ab4bc885e7ba8f81 |
completed | May 7, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd4ab4b588190977b3dc2adc1f412 |
completed | May 7, 2026, 6:06 p.m. |
Created at: April 9, 2026, 10:22 p.m.