Triple
T25066514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Grande, Oregon |
E627796
|
entity |
| Predicate | distanceToBoiseIdaho |
P74105
|
FINISHED |
| Object | about 160 miles |
—
|
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 160 miles | Statement: [La Grande, Oregon, distanceToBoiseIdaho, about 160 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBoiseIdaho Context triple: [La Grande, Oregon, distanceToBoiseIdaho, about 160 miles]
-
A.
distanceToBoise
chosen
Indicates the spatial distance between a given entity’s location and the city of Boise.
-
B.
distanceToMoscowIdaho
Indicates the measured distance between a given entity’s location and the city of Moscow, Idaho.
-
C.
distanceToMissoula
Indicates the measured distance between a given entity’s location and the location of Missoula.
-
D.
distanceToOgden
Indicates the spatial distance between an entity and the location named Ogden.
-
E.
distanceToSpokaneApprox
Indicates an approximate distance measurement between a given entity’s location and the city of Spokane.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 18, 2026, 6:10 a.m.