Triple
T15216884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaupanger |
E363658
|
entity |
| Predicate | municipalCentreDistance |
P34698
|
FINISHED |
| Object | about 10 km southeast of Sogndalsfjøra |
—
|
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 10 km southeast of Sogndalsfjøra | Statement: [Kaupanger, municipalCentreDistance, about 10 km southeast of Sogndalsfjøra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalCentreDistance Context triple: [Kaupanger, municipalCentreDistance, about 10 km southeast of Sogndalsfjøra]
-
A.
nearestCityCenterDistance
Indicates the distance from a given location to the closest city center.
-
B.
administrativeCentreNearby
chosen
Indicates that an administrative centre is located close to the referenced entity in geographic or spatial terms.
-
C.
districtHeadquartersDistance
Indicates the distance between a place and its corresponding district headquarters.
-
D.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
-
E.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:11 a.m.