Triple
T36215322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igbotako |
E1047676
|
entity |
| Predicate | hasLocalGovernmentAreaHeadquartersNearby |
P92518
|
FINISHED |
| Object | Okitipupa |
—
|
NE NERFINISHED |
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: Okitipupa | Statement: [Igbotako, hasLocalGovernmentAreaHeadquartersNearby, Okitipupa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentAreaHeadquartersNearby Context triple: [Igbotako, hasLocalGovernmentAreaHeadquartersNearby, Okitipupa]
-
A.
hasLocalGovernmentAreaHeadquarters
Indicates that a local government area has its main administrative headquarters located at a specific place.
-
B.
isInLocalGovernmentAreaHeadquarteredAt
Indicates that an entity is located within the jurisdiction of a local government area whose administrative headquarters is at a specified place.
-
C.
hasMunicipalitySeatNearby
chosen
Indicates that the municipality’s administrative seat is located in close proximity to the referenced place or entity.
-
D.
nearestDistrictHeadquarters
Indicates that one location is the closest district headquarters to another specified place.
-
E.
hasNearbySuburb
Indicates that one location has another location as a suburb situated in close geographic proximity.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4:09 p.m.