Triple
T24665116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Lake Airport |
E610651
|
entity |
| Predicate | distanceFromTownCentreDirection |
P26962
|
FINISHED |
| Object | north |
—
|
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: north | Statement: [Red Lake Airport, distanceFromTownCentreDirection, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTownCentreDirection Context triple: [Red Lake Airport, distanceFromTownCentreDirection, north]
-
A.
distanceFromCityCenterDirection
Indicates the distance and compass direction of a location relative to the center of a specified city.
-
B.
directionFromCityCentre
chosen
Indicates the compass direction in which one location lies relative to the city centre.
-
C.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
-
D.
directionFromParkCenter
Indicates the compass direction or relative bearing of an entity when measured outward from the center point of a park.
-
E.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 2:34 a.m.