Triple
T2740733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imo State |
E60742
|
entity |
| Predicate | hasLocalGovernmentArea |
P8215
|
FINISHED |
| Object |
Nwangele
Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
|
E299103
|
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: Nwangele | Statement: [Imo State, hasLocalGovernmentArea, Nwangele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nwangele Context triple: [Imo State, hasLocalGovernmentArea, Nwangele]
-
A.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
B.
Mofolo
Mofolo is a residential neighborhood within Soweto, Johannesburg, known for its vibrant township culture and historical significance in South Africa.
-
C.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
-
D.
Tshiphani
Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
-
E.
Bongi
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
- 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: Nwangele Triple: [Imo State, hasLocalGovernmentArea, Nwangele]
Generated description
Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nwangele Target entity description: Nwangele is a local government area in Imo State, southeastern Nigeria, known for its predominantly Igbo population and agrarian communities.
-
A.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
B.
Mofolo
Mofolo is a residential neighborhood within Soweto, Johannesburg, known for its vibrant township culture and historical significance in South Africa.
-
C.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
-
D.
Tshiphani
Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
-
E.
Bongi
Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb2f210881909126307cc92ebfef |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc640af508190b5d089dc5feac504 |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afc6c6c620819098b76db174a6f98e |
completed | March 10, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc72b2e3c8190aad78ac8924f07af |
completed | March 10, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:56 p.m.