Triple
T27427175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noorvik, Alaska |
E690520
|
entity |
| Predicate | distanceToKotzebueInMiles |
P199904
|
FINISHED |
| Object | about 45 |
—
|
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 45 | Statement: [Noorvik, Alaska, distanceToKotzebueInMiles, about 45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKotzebueInMiles Context triple: [Noorvik, Alaska, distanceToKotzebueInMiles, about 45]
-
A.
distanceFromFairbanks
Indicates the spatial distance between a given location or entity and the city of Fairbanks.
-
B.
approximateDistanceFromAnchorage
Indicates the estimated spatial distance between a given entity and Anchorage, rather than an exact measured value.
-
C.
distanceFromAnchorage
Indicates the measured distance between a given location or object and Anchorage.
-
D.
distanceToAlaskaApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and the state of Alaska.
-
E.
distanceToTalkeetnaInMiles
Indicates the numerical distance, measured in miles, from a given entity or location to Talkeetna.
- 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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
| PDg | Predicate description generation | batch_69ff63e5c35081908f69ac44e12b8f52 |
completed | May 9, 2026, 4:42 p.m. |
Created at: April 27, 2026, 12:41 p.m.