Triple
T29885967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaspar Grande |
E759012
|
entity |
| Predicate | distanceFromTrinidadMainland |
P139681
|
FINISHED |
| Object | about 1 kilometre |
—
|
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: about 1 kilometre | Statement: [Gaspar Grande, distanceFromTrinidadMainland, about 1 kilometre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTrinidadMainland Context triple: [Gaspar Grande, distanceFromTrinidadMainland, about 1 kilometre]
-
A.
distanceToTrinidad
chosen
Indicates the spatial distance between a given entity and the location of Trinidad.
-
B.
distanceFromPortOfSpain
Indicates the measured distance between a given location and the city of Port of Spain.
-
C.
distanceFromBelizeMainland
Indicates the measured spatial distance separating a given entity from the mainland territory of Belize.
-
D.
distanceFromCaribbeanCoast
Indicates the measured distance between a location and the coastline of the Caribbean Sea.
-
E.
distanceToJamaica
Indicates the measured or calculated distance between a given entity and the location Jamaica.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a00b8e0a5508190abc5c1e492bed12e |
completed | May 10, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_6a00b8327d048190850af317f60f0f8b |
completed | May 10, 2026, 4:54 p.m. |
Created at: April 29, 2026, 6 p.m.