Triple
T36713746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judiciary of Trinidad and Tobago |
E906859
|
entity |
| Predicate | courtBuildingsIn |
P136655
|
FINISHED |
| Object | Port of Spain |
—
|
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: Port of Spain | Statement: [Judiciary of Trinidad and Tobago, courtBuildingsIn, Port of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courtBuildingsIn Context triple: [Judiciary of Trinidad and Tobago, courtBuildingsIn, Port of Spain]
-
A.
courtLocationTraditionallyIdentifiedWith
Indicates that a court’s location is customarily or historically recognized as being associated with a particular place, even if this identification is not formally or conclusively established.
-
B.
countryHighestCourtBuilding
Indicates the building that houses the highest court of a given country.
-
C.
courtLocation
Indicates the place or venue where a court proceeding or judicial action takes place.
-
D.
courtName
Indicates the official name assigned to a particular court within a legal or judicial system.
-
E.
primaryCourthouseFor
chosen
Indicates that one entity serves as the main or designated courthouse responsible for handling the legal matters of another entity (such as a jurisdiction or organization).
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c81880488190b38bf885d2458ad4 |
completed | May 3, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.