Triple
T13735552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Avenue (Minneapolis) |
E329933
|
entity |
| Predicate | buildingUseBeforeVenue |
P110780
|
FINISHED |
| Object | bus depot |
—
|
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: bus depot | Statement: [First Avenue (Minneapolis), buildingUseBeforeVenue, bus depot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingUseBeforeVenue Context triple: [First Avenue (Minneapolis), buildingUseBeforeVenue, bus depot]
-
A.
usesVenues
Indicates that one entity makes use of or operates within specific venues or locations to carry out its activities or services.
-
B.
homeVenueAlsoUsedBy
Indicates that the venue serving as a home location for one entity is also used as a venue by another entity.
-
C.
buildingUseBeforeTheatre
Indicates the function or purpose a building served prior to its use as a theatre.
-
D.
buildingUsedBy
Indicates that a particular building is utilized or occupied by a specified entity for some purpose.
-
E.
homeMeetsVenue
Indicates that a home team plays its scheduled match at a specified venue.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.