Triple
T6843203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strait Island |
E157825
|
entity |
| Predicate | hasMinorityInhabitants |
P1898
|
FINISHED |
| Object | government officials |
—
|
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: government officials | Statement: [Strait Island, hasMinorityInhabitants, government officials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinorityInhabitants Context triple: [Strait Island, hasMinorityInhabitants, government officials]
-
A.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
B.
isMinorityTownIn
Indicates that a town is located within a larger region or jurisdiction where it is classified as a minority community.
-
C.
hasMinorityInHouse
Indicates that a political party or group holds fewer seats than any other in a legislative house, making it the smallest (minority) faction there.
-
D.
hasSignificantPopulationGroup
chosen
Indicates that an entity contains or is associated with a notable or substantial subgroup of a population, distinguished by shared characteristics or attributes.
-
E.
shareMinorityPopulations
Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c6d09f90648190bc0a462c7d59de1b |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:19 p.m.