Triple
T11579103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urhobo |
E274578
|
entity |
| Predicate | majorClan |
P1915
|
FINISHED |
| Object |
Agbarho
Agbarho is a prominent Urhobo clan and town in Delta State, Nigeria, known for its cultural heritage and influence within Urhobo society.
|
E934596
|
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: Agbarho | Statement: [Urhobo, majorClan, Agbarho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agbarho Context triple: [Urhobo, majorClan, Agbarho]
-
A.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
-
B.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
C.
Agarfa
Agarfa is a town and district in Ethiopia’s Oromia Region, situated within the Bale Zone and known for its agricultural and pastoral communities.
-
D.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
E.
Aggra
Aggra is an orc shaman from the Mag'har of Nagrand in the Warcraft universe, known for training and later marrying Thrall.
- 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: Agbarho Triple: [Urhobo, majorClan, Agbarho]
Generated description
Agbarho is a prominent Urhobo clan and town in Delta State, Nigeria, known for its cultural heritage and influence within Urhobo society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agbarho Target entity description: Agbarho is a prominent Urhobo clan and town in Delta State, Nigeria, known for its cultural heritage and influence within Urhobo society.
-
A.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
-
B.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
C.
Agarfa
Agarfa is a town and district in Ethiopia’s Oromia Region, situated within the Bale Zone and known for its agricultural and pastoral communities.
-
D.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
E.
Aggra
Aggra is an orc shaman from the Mag'har of Nagrand in the Warcraft universe, known for training and later marrying Thrall.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714080a60819095205355776c8637 |
completed | April 21, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69e720f9a8588190aa766d2e1628207a |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e72315dda08190996aa84587c5fc80 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.