Triple
T23663346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian School of Veterinary Science |
E584509
|
entity |
| Predicate | cityDistrictAssociation |
P143741
|
FINISHED |
| Object | St. Hanshaugen, Oslo |
—
|
NE NERFINISHED |
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: St. Hanshaugen, Oslo | Statement: [Norwegian School of Veterinary Science, cityDistrictAssociation, St. Hanshaugen, Oslo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityDistrictAssociation Context triple: [Norwegian School of Veterinary Science, cityDistrictAssociation, St. Hanshaugen, Oslo]
-
A.
cityDistrictType
Indicates the type or classification of a city district within an urban or administrative structure.
-
B.
cityDistrictFunction
Indicates that a specific function, role, or land-use purpose is assigned to or characterizes a particular district within a city.
-
C.
targetCityDistrict
Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
-
D.
cityDistrictLevel
Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
-
E.
inCityDistrict
chosen
Indicates that one entity is located within the boundaries of a specific city district.
- 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40a1284819087cd29c9c390549d |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.