Triple
T10851717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pingualuit Crater |
E256160
|
entity |
| Predicate | distanceToNearestSettlement |
P78268
|
FINISHED |
| Object | about 100 kilometres southwest of Kangiqsujuaq |
—
|
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 100 kilometres southwest of Kangiqsujuaq | Statement: [Pingualuit Crater, distanceToNearestSettlement, about 100 kilometres southwest of Kangiqsujuaq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNearestSettlement Context triple: [Pingualuit Crater, distanceToNearestSettlement, about 100 kilometres southwest of Kangiqsujuaq]
-
A.
hasNearestLargerSettlement
Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
-
B.
nearestInhabitedTerritory
Indicates that one territory is the closest inhabited territory to another specified location or territory.
-
C.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
-
D.
nearestCityCenterDistance
chosen
Indicates the distance from a given location to the closest city center.
-
E.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75117b76c8190b0fb216b1428c3c7 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.