Triple
T5859239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal, Colorado |
E130231
|
entity |
| Predicate | distanceToLandmark |
P53174
|
FINISHED |
| Object | about 0.2 miles from Crystal Mill |
—
|
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 0.2 miles from Crystal Mill | Statement: [Crystal, Colorado, distanceToLandmark, about 0.2 miles from Crystal Mill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLandmark Context triple: [Crystal, Colorado, distanceToLandmark, about 0.2 miles from Crystal Mill]
-
A.
proximityToLandmark
chosen
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
B.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
-
C.
isMostDistantHumanMadeObject
Indicates that the subject is the human-made object currently farthest from Earth (or from its point of origin).
-
D.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
-
E.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.