Triple
T32328459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mummy Mountain (Nevada) |
E825980
|
entity |
| Predicate | approxDistanceToLasVegas |
P65642
|
FINISHED |
| Object | about 35 mi |
—
|
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 35 mi | Statement: [Mummy Mountain (Nevada), approxDistanceToLasVegas, about 35 mi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxDistanceToLasVegas Context triple: [Mummy Mountain (Nevada), approxDistanceToLasVegas, about 35 mi]
-
A.
distanceFromLasVegas
chosen
Indicates the measured distance between a given place or object and the city of Las Vegas.
-
B.
distanceFromLasVegasStrip
Indicates the physical distance between a given location and the Las Vegas Strip.
-
C.
approximateDistanceToLasCruces
Indicates that an entity has an estimated or rough distance measurement to the location Las Cruces.
-
D.
distanceFromReno
Indicates the spatial distance between a given entity and the location Reno.
-
E.
distanceToPahrumpNevada
Indicates the spatial distance between a given entity or location and Pahrump, Nevada.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: May 1, 2026, 12:47 a.m.