Triple
T38224384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niger State Ministry of Local Government and Chieftaincy Affairs |
E1012097
|
entity |
| Predicate | headedBy |
P981
|
FINISHED |
| Object |
Commissioner for Local Government and Chieftaincy Affairs of Niger State
The Commissioner for Local Government and Chieftaincy Affairs of Niger State is the state executive official responsible for overseeing local government administration and traditional institutions within Niger State, Nigeria.
|
E1012097
|
NE FINISHED |
How this triple was built (2 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: Commissioner for Local Government and Chieftaincy Affairs of Niger State | Statement: [Niger State Ministry of Local Government and Chieftaincy Affairs, headedBy, Commissioner for Local Government and Chieftaincy Affairs of Niger State]
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: Commissioner for Local Government and Chieftaincy Affairs of Niger State Triple: [Niger State Ministry of Local Government and Chieftaincy Affairs, headedBy, Commissioner for Local Government and Chieftaincy Affairs of Niger State]
Generated description
The Commissioner for Local Government and Chieftaincy Affairs of Niger State is the state executive official responsible for overseeing local government administration and traditional institutions within Niger State, Nigeria.
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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcb15ea538819089302480a11ad366 |
completed | May 7, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41855349a8819098ff8b0350ebe198 |
completed | June 28, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_6a418656494881908409b6ed7f5bf2a5 |
completed | June 28, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41870347b0819084084ebb3013c1a1 |
completed | June 28, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:30 p.m.