Triple
T3661540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodø |
E77659
|
entity |
| Predicate | distanceToArcticCircleKmApprox |
P15650
|
FINISHED |
| Object | 80 |
—
|
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: 80 | Statement: [Bodø, distanceToArcticCircleKmApprox, 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToArcticCircleKmApprox Context triple: [Bodø, distanceToArcticCircleKmApprox, 80]
-
A.
distanceFromArcticCircle
chosen
Indicates the measured spatial separation between a given location and the Arctic Circle, typically expressed as a linear or angular distance.
-
B.
distanceFromNorthPole
Indicates the measured spatial distance between a given entity’s location and the geographic North Pole.
-
C.
distanceFromEquator
Indicates how far a location is from the Earth's equator, typically measured as a geographic or angular distance.
-
D.
distanceFromSouthPole
Indicates the measured distance of an entity from the geographic South Pole.
-
E.
distanceToArkhangelskApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and Arkhangelsk.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d826d88190b0b50e8592088a36 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.