Triple
T27343110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reid Kerr College Stand |
E684162
|
entity |
| Predicate | locatedAtFormerVenue |
P59528
|
FINISHED |
| Object | Love Street, Paisley |
—
|
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: Love Street, Paisley | Statement: [Reid Kerr College Stand, locatedAtFormerVenue, Love Street, Paisley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtFormerVenue Context triple: [Reid Kerr College Stand, locatedAtFormerVenue, Love Street, Paisley]
-
A.
locatedAtFormer
chosen
Indicates that an entity is currently located at a place where another entity was previously located.
-
B.
formerVenueLocation
Indicates that a location previously served as the venue for an entity or event but no longer does so.
-
C.
formerlyLocatedOn
Indicates that an entity was once located on or situated upon another entity, but is no longer in that position.
-
D.
venueFormerName
Indicates that a venue previously had a different official name than it has currently.
-
E.
locatedAtFormerAirport
Indicates that an entity is situated on the site or grounds of an airport that is no longer in operation.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: April 27, 2026, 11:44 a.m.