Triple
T30771571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trona, California |
E783536
|
entity |
| Predicate | distanceToRidgecrest |
P84690
|
FINISHED |
| Object | about 20 miles northeast |
—
|
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 20 miles northeast | Statement: [Trona, California, distanceToRidgecrest, about 20 miles northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToRidgecrest Context triple: [Trona, California, distanceToRidgecrest, about 20 miles northeast]
-
A.
distanceFromRidgecrest
chosen
Indicates the measured distance between a given entity and the location referred to as Ridgecrest.
-
B.
distanceToWitney
Indicates the spatial distance between an entity and the location Witney.
-
C.
distanceFromLightningRidge
Indicates the measured or specified distance between a given entity and the location known as Lightning Ridge.
-
D.
distanceToCrescentCity
Indicates the measured distance between a given location and Crescent City.
-
E.
distanceToSanBernardino
Indicates the measured distance between a given entity’s location and the location of San Bernardino.
- 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0144c75aec81908bdd9e88f2af737a |
completed | May 11, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_6a014405a2d48190a1d58b0b907ad696 |
completed | May 11, 2026, 2:50 a.m. |
Created at: April 29, 2026, 8:40 p.m.