Triple
T12402818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glasgow International Comedy Festival |
E296301
|
entity |
| Predicate | takesPlaceAcross |
P94992
|
FINISHED |
| Object | multiple venues in Glasgow |
—
|
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: multiple venues in Glasgow | Statement: [Glasgow International Comedy Festival, takesPlaceAcross, multiple venues in Glasgow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takesPlaceAcross Context triple: [Glasgow International Comedy Festival, takesPlaceAcross, multiple venues in Glasgow]
-
A.
across
chosen
Indicates a spatial relationship where one entity is on the opposite side of, or extending from one side to the other side of, another entity or area.
-
B.
runsAcross
Indicates that one entity moves quickly on foot from one side of another entity, area, or boundary to the opposite side, traversing it in a roughly straight path.
-
C.
takesPlaceInRegion
Indicates that an event or occurrence happens within the boundaries of a specified geographic or administrative region.
-
D.
takesPlaceBetween
Indicates that an event or interaction occurs within the temporal or spatial interval defined by two reference points.
-
E.
tookPlaceFrom
Indicates that an event or occurrence started or was ongoing beginning at a specified time or location.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.