Triple
T4459409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provideniya |
E98214
|
entity |
| Predicate | distanceToAlaskaApproxKm |
P56658
|
FINISHED |
| Object | less than 500 km |
—
|
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: less than 500 km | Statement: [Provideniya, distanceToAlaskaApproxKm, less than 500 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAlaskaApproxKm Context triple: [Provideniya, distanceToAlaskaApproxKm, less than 500 km]
-
A.
distanceFromAnchorage
Indicates the measured distance between a given location or object and Anchorage.
-
B.
distanceToArkhangelskApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and Arkhangelsk.
-
C.
distanceFromFairbanks
Indicates the spatial distance between a given location or entity and the city of Fairbanks.
-
D.
distanceFromArcticCircle
Indicates the measured spatial separation between a given location and the Arctic Circle, typically expressed as a linear or angular distance.
-
E.
distanceToBigDiomede
Indicates the measured distance between a given entity’s location and Big Diomede Island.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b354e1f0948190b645096b2b7037af |
completed | March 13, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:33 p.m.