Triple
T23433039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunapuna |
E563382
|
entity |
| Predicate | hasNeighbouringTown |
P3883
|
FINISHED |
| Object | Trincity |
—
|
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: Trincity | Statement: [Tunapuna, hasNeighbouringTown, Trincity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trincity Context triple: [Tunapuna, hasNeighbouringTown, Trincity]
-
A.
Trincity
chosen
Trincity is a major suburban and commercial hub in northern Trinidad, known for its large shopping mall and residential developments within the Tunapuna–Piarco region.
-
B.
Shannon City
Shannon City is a small rural community in southern Iowa, United States.
-
C.
Union City
Union City is a suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
-
D.
Union City
Union City is a small city in northwestern Tennessee known as a regional hub for commerce and as the home of the Discovery Park of America museum and park.
-
E.
Union City
Union City is a suburban city in California’s San Francisco Bay Area, known for its diverse population and location between Oakland and San Jose.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d9f0d48190903f43d044bcf2dd |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.