Triple
T12371611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakubu Gowon Airport |
E295014
|
entity |
| Predicate | isNamedAfterPositionHolder |
P13174
|
FINISHED |
| Object | Head of State of Nigeria |
—
|
LITERAL 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: Head of State of Nigeria | Statement: [Yakubu Gowon Airport, isNamedAfterPositionHolder, Head of State of Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedAfterPositionHolder Context triple: [Yakubu Gowon Airport, isNamedAfterPositionHolder, Head of State of Nigeria]
-
A.
hasPositionHolderType
Indicates that an entity’s role or office is associated with a specific type or category of position holder.
-
B.
usedByPositionHolder
Indicates that something (such as a resource, tool, or asset) is utilized by the person or role currently holding a specific position.
-
C.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
D.
namedAfterPosition
chosen
Indicates that an entity is named after a specific position, role, or rank associated with it.
-
E.
isPositionedAs
Indicates that one entity is placed or arranged in a specific spatial or conceptual position relative to another.
- F. None of above.
Provenance (3 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.