Triple
T8402676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingston, Nevada |
E198412
|
entity |
| Predicate | distanceToAustinNevadaInMiles |
P81816
|
FINISHED |
| Object | about 32 |
—
|
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 32 | Statement: [Kingston, Nevada, distanceToAustinNevadaInMiles, about 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAustinNevadaInMiles Context triple: [Kingston, Nevada, distanceToAustinNevadaInMiles, about 32]
-
A.
distanceFromLasVegas
Indicates the measured distance between a given place or object and the city of Las Vegas.
-
B.
distanceToPahrumpNevada
Indicates the spatial distance between a given entity or location and Pahrump, Nevada.
-
C.
distanceFromReno
Indicates the spatial distance between a given entity and the location Reno.
-
D.
distanceToWinnemucca
Indicates the spatial distance between a given entity’s location and the location of Winnemucca.
-
E.
distanceFromLasVegasStrip
Indicates the physical distance between a given location and the Las Vegas Strip.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb824efa5c81908ce816cdb8e1fcfb |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:04 p.m.