Triple
T25582113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bekkestua tram stop |
E641272
|
entity |
| Predicate | locatedInBoroughOrDistrict |
P95123
|
FINISHED |
| Object | Bekkestua |
—
|
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: Bekkestua | Statement: [Bekkestua tram stop, locatedInBoroughOrDistrict, Bekkestua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInBoroughOrDistrict Context triple: [Bekkestua tram stop, locatedInBoroughOrDistrict, Bekkestua]
-
A.
locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
-
B.
locatedInFormerBorough
Indicates that an entity is or was situated within the geographic area of a borough that no longer exists as an administrative unit.
-
C.
positionInBorough
chosen
Indicates that one entity is located within or belongs to the geographic area of a specific borough.
-
D.
isLocatedInBoroughGovernment
Indicates that a government entity or office is situated within and administered as part of a specific borough-level governmental jurisdiction.
-
E.
operatedInBorough
Indicates that an entity conducted its operations or activities within the geographic area of a specific borough.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 21, 2026, 4:13 p.m.