Triple
T33713109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian counties |
E863794
|
entity |
| Predicate | OsloStatus |
P75501
|
FINISHED |
| Object | both a municipality and a county-level entity |
—
|
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: both a municipality and a county-level entity | Statement: [Norwegian counties, OsloStatus, both a municipality and a county-level entity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OsloStatus Context triple: [Norwegian counties, OsloStatus, both a municipality and a county-level entity]
-
A.
statusInNorway
chosen
Indicates the legal, social, or official standing that an entity holds within the jurisdiction of Norway.
-
B.
neighboringStationTowardsOslo
Indicates that one station is the next neighboring station in the direction towards Oslo.
-
C.
directionFromOslo
Indicates the cardinal or relative direction in which one location lies when measured from Oslo.
-
D.
distanceFromOslo
Indicates the spatial distance between a given entity’s location and the city of Oslo.
-
E.
neighboringStationAwayFromOslo
Indicates that one station is directly adjacent to another station along a route that leads away from Oslo.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fabe07848190bd4f14ac6dfa35b6 |
completed | May 3, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.