Triple
T16002418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontabelle, Barbados |
E388126
|
entity |
| Predicate | distanceToBridgetownCentre |
P120722
|
FINISHED |
| Object | approximately 1–2 kilometres |
—
|
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: approximately 1–2 kilometres | Statement: [Fontabelle, Barbados, distanceToBridgetownCentre, approximately 1–2 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBridgetownCentre Context triple: [Fontabelle, Barbados, distanceToBridgetownCentre, approximately 1–2 kilometres]
-
A.
distanceFromGeorgeTown
Indicates the measured spatial distance between a given location and George Town.
-
B.
distanceFromBathCityCentre_km
Indicates the distance, measured in kilometers, between an entity and the center of Bath city.
-
C.
distanceToKingstonApprox
Indicates an approximate distance between a given location and Kingston.
-
D.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
-
E.
distanceToKingstown
Indicates the spatial distance between a given location and the place referred to as Kingstown.
- F. None of above. chosen
Provenance (4 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142dc081c819082527e3fa8773460 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e173af801c8190bfc0f602831bb594 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 10, 2026, 4:55 a.m.