Triple
T35683214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruneau, Idaho |
E1031067
|
entity |
| Predicate | distanceToBoiseInMiles |
P74105
|
FINISHED |
| Object | about 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: about 60 | Statement: [Bruneau, Idaho, distanceToBoiseInMiles, about 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBoiseInMiles Context triple: [Bruneau, Idaho, distanceToBoiseInMiles, about 60]
-
A.
distanceToBoise
chosen
Indicates the spatial distance between a given entity’s location and the city of Boise.
-
B.
distanceToWasillaInMiles
Indicates the numerical distance, measured in miles, between a given entity’s location and the city of Wasilla.
-
C.
distanceToMissoula
Indicates the measured distance between a given entity’s location and the location of Missoula.
-
D.
distanceToTalkeetnaInMiles
Indicates the numerical distance, measured in miles, from a given entity or location to Talkeetna.
-
E.
distanceToBurley
Indicates the spatial distance between an entity and the location named Burley.
- 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.