Triple
T26071955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susitna North |
E657572
|
entity |
| Predicate | distanceToAnchorageInMiles |
P125478
|
FINISHED |
| Object | about 70 |
—
|
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 70 | Statement: [Susitna North, distanceToAnchorageInMiles, about 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAnchorageInMiles Context triple: [Susitna North, distanceToAnchorageInMiles, about 70]
-
A.
distanceFromAnchorage
Indicates the measured distance between a given location or object and Anchorage.
-
B.
approximateDistanceFromAnchorage
chosen
Indicates the estimated spatial distance between a given entity and Anchorage, rather than an exact measured value.
-
C.
distanceToTalkeetnaInMiles
Indicates the numerical distance, measured in miles, from a given entity or location to Talkeetna.
-
D.
distanceFromFairbanks
Indicates the spatial distance between a given location or entity and the city of Fairbanks.
-
E.
relativeLocationToAnchorage
Indicates a spatial relationship specifying where something is located in relation to Anchorage as a reference point.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: April 26, 2026, 7:30 p.m.