Triple
T16243788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storslett |
E394316
|
entity |
| Predicate | distanceToSørkjosen_km |
P122311
|
FINISHED |
| Object | about 5 |
—
|
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 5 | Statement: [Storslett, distanceToSørkjosen_km, about 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSørkjosen_km Context triple: [Storslett, distanceToSørkjosen_km, about 5]
-
A.
distanceFromKristiansand
Indicates the spatial distance between a given location or object and the city of Kristiansand.
-
B.
distanceToEidsvollTown_km
Indicates the physical distance, measured in kilometers, between a given place and the town of Eidsvoll.
-
C.
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.
-
D.
distanceFromStavanger
Indicates the spatial distance between a given entity or location and the city of Stavanger.
-
E.
distanceFromOslo
Indicates the spatial distance between a given entity’s location and the city of Oslo.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24560060c8190ace4f4c0bd0d886d |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.