Triple
T15407411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obi |
E368495
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Obi (town)
Obi is a town in Nigeria that serves as the administrative center of Obi Local Government Area.
|
E1154298
|
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: Obi (town) | Statement: [Obi, hasCapital, Obi (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obi (town) Context triple: [Obi, hasCapital, Obi (town)]
-
A.
Obubra town
Obubra town is a local government administrative center in Cross River State, Nigeria, serving as a hub for governance and regional services.
-
B.
Goba town
Goba town is an urban center in southeastern Ethiopia known as a gateway to the nearby Bale Mountains and their national park.
-
C.
Ochi Town
Ochi Town is a small rural municipality in Japan known for its scenic riverside landscapes and traditional countryside lifestyle within Kōchi Prefecture on Shikoku Island.
-
D.
Oguta town
Oguta town is a riverside community in Imo State, southeastern Nigeria, known for its proximity to the scenic Oguta Lake and its role as a local commercial and cultural center.
-
E.
Oguni Town
Oguni Town is a rural municipality in northern Japan known for its mountainous landscapes, forests, and hot springs within Yamagata Prefecture.
- 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: Obi (town) Triple: [Obi, hasCapital, Obi (town)]
Generated description
Obi is a town in Nigeria that serves as the administrative center of Obi Local Government Area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Obi (town) Target entity description: Obi is a town in Nigeria that serves as the administrative center of Obi Local Government Area.
-
A.
Obubra town
Obubra town is a local government administrative center in Cross River State, Nigeria, serving as a hub for governance and regional services.
-
B.
Goba town
Goba town is an urban center in southeastern Ethiopia known as a gateway to the nearby Bale Mountains and their national park.
-
C.
Ochi Town
Ochi Town is a small rural municipality in Japan known for its scenic riverside landscapes and traditional countryside lifestyle within Kōchi Prefecture on Shikoku Island.
-
D.
Oguta town
Oguta town is a riverside community in Imo State, southeastern Nigeria, known for its proximity to the scenic Oguta Lake and its role as a local commercial and cultural center.
-
E.
Oguni Town
Oguni Town is a rural municipality in northern Japan known for its mountainous landscapes, forests, and hot springs within Yamagata Prefecture.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141babdc8190bac03e8a294984ce |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14d3e78881909692d5594bc941d8 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:20 a.m.