Triple
T27335697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oltedal |
E689939
|
entity |
| Predicate | distanceTo Sandnes |
P199457
|
FINISHED |
| Object | about 25–30 km southeast |
—
|
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 25–30 km southeast | Statement: [Oltedal, distanceTo Sandnes, about 25–30 km southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo Sandnes Context triple: [Oltedal, distanceTo Sandnes, about 25–30 km southeast]
-
A.
distanceFromKristiansand
Indicates the spatial distance between a given location or object and the city of Kristiansand.
-
B.
distanceToSørkjosen_km
Indicates the physical distance, measured in kilometers, from a given location or entity to Sørkjosen.
-
C.
distanceFromStavanger
Indicates the spatial distance between a given entity or location and the city of Stavanger.
-
D.
distanceFromTrondheimApproximate
Indicates an approximate measure of how far something is from Trondheim, typically expressed as a rough or estimated distance rather than an exact value.
-
E.
distanceFromTrondheimOnNordlandLine_km
Indicates the distance in kilometers of a location measured along the Nordland railway line from Trondheim.
- 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_69ef355e5b388190a8fc1eba9b4a6656 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
| PDg | Predicate description generation | batch_69ff3b323a748190827165f1cb274141 |
completed | May 9, 2026, 1:48 p.m. |
Created at: April 27, 2026, 11:40 a.m.