Triple
T8799180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inyokern Airport |
E209357
|
entity |
| Predicate | distanceFromRidgecrest |
P84690
|
FINISHED |
| Object | approximately 8 miles west |
—
|
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: approximately 8 miles west | Statement: [Inyokern Airport, distanceFromRidgecrest, approximately 8 miles west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromRidgecrest Context triple: [Inyokern Airport, distanceFromRidgecrest, approximately 8 miles west]
-
A.
distanceFromLasVegas
Indicates the measured distance between a given place or object and the city of Las Vegas.
-
B.
distanceFromReno
Indicates the spatial distance between a given entity and the location Reno.
-
C.
distanceToFurnaceCreek
Indicates the measured or calculated spatial distance between a given entity and Furnace Creek.
-
D.
distanceToPalmSprings
Indicates the spatial distance between a given location or entity and Palm Springs.
-
E.
distanceFromSanJosé
Indicates the measured spatial distance between a given entity and the location of San José.
- F. None of above. chosen
Provenance (4 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb7491c8190bcdb98d6cc003d9e |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:44 p.m.