Triple
T27328256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logandale, Nevada |
E689718
|
entity |
| Predicate | distanceToLasVegasInMiles |
P65642
|
FINISHED |
| Object | approximately 60 |
—
|
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 60 | Statement: [Logandale, Nevada, distanceToLasVegasInMiles, approximately 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLasVegasInMiles Context triple: [Logandale, Nevada, distanceToLasVegasInMiles, approximately 60]
-
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.
distanceToLosAngeles
Indicates the measured or calculated distance between a given entity’s location and the city of Los Angeles.
-
D.
distanceFromReno
Indicates the spatial distance between a given entity and the location Reno.
-
E.
distanceToAustinNevadaInMiles
Indicates the physical distance, measured in miles, between a given place or entity and Austin, 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69ff370698ec81909bb1596d7d4112ba |
completed | May 9, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69ff3699b6288190b564839cb05f5cf6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 27, 2026, 11:36 a.m.