Triple
T30791393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLRB |
E784105
|
entity |
| Predicate | airportProvince |
P79461
|
FINISHED |
| Object | Margibi County |
—
|
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: Margibi County | Statement: [GLRB, airportProvince, Margibi County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportProvince Context triple: [GLRB, airportProvince, Margibi County]
-
A.
destinationProvince
Indicates the province that serves as the endpoint or target location of a movement, transfer, or route.
-
B.
governingProvince
Indicates that one administrative unit or authority has official governing control over a specified province.
-
C.
adminProvince
Indicates that one entity serves as the administrative province or primary provincial jurisdiction for another entity.
-
D.
baseProvince
chosen
Indicates that one administrative or territorial unit serves as the primary or originating province associated with another entity.
-
E.
exportProvince
Indicates the province from which goods, services, or resources are exported.
- 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_69f224b2e2a48190b19aa43db9da5b67 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 29, 2026, 8:42 p.m.