Triple
T37005984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grayling, Alaska |
E915799
|
entity |
| Predicate | distanceToMajorRoadNetwork |
P117786
|
FINISHED |
| Object | far |
—
|
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: far | Statement: [Grayling, Alaska, distanceToMajorRoadNetwork, far]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMajorRoadNetwork Context triple: [Grayling, Alaska, distanceToMajorRoadNetwork, far]
-
A.
distanceFromRoads
chosen
Indicates the measured or estimated spatial distance between a location and the nearest road.
-
B.
nearbyMajorRoad
Indicates that one entity is located close to a significant or heavily used road.
-
C.
approximateDistanceFromHighway1
Indicates the estimated distance between a location and Highway 1, rather than an exact measured value.
-
D.
distanceToSplitByRoad_km
Indicates the distance in kilometers from a given location to the nearest point where a road splits or branches.
-
E.
distanceToNomeByRoad
Indicates the road travel distance between a given place and the city of Nome.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.