Triple
T2689530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Arvon |
E57565
|
entity |
| Predicate | distanceToNearbySettlement |
P3883
|
FINISHED |
| Object | about 27 miles from L’Anse by road |
—
|
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 27 miles from L’Anse by road | Statement: [Mount Arvon, distanceToNearbySettlement, about 27 miles from L’Anse by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNearbySettlement Context triple: [Mount Arvon, distanceToNearbySettlement, about 27 miles from L’Anse by road]
-
A.
hasNearbyTown
chosen
Indicates that one location has a town situated close to it in geographic proximity.
-
B.
nearestInhabitedTerritory
Indicates that one territory is the closest inhabited territory to another specified location or territory.
-
C.
hasTribalHeadquartersNearby
Indicates that the subject entity is located close to the tribal headquarters of a Native nation or tribe.
-
D.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
E.
distanceFromCapital
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f380d48190953529d23688a328 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.