Triple
T29458655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kynren open-air show |
E747169
|
entity |
| Predicate | approximateCastSize |
P39592
|
FINISHED |
| Object | hundreds of performers |
—
|
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: hundreds of performers | Statement: [Kynren open-air show, approximateCastSize, hundreds of performers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateCastSize Context triple: [Kynren open-air show, approximateCastSize, hundreds of performers]
-
A.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
B.
approximateSizeIn2024
Indicates the estimated or roughly measured size of something as it is expected to be in the year 2024.
-
C.
approximateCapacity
Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
-
D.
typicalCastSize
chosen
Indicates the usual or standard number of cast members involved in a production or performance.
-
E.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
- 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: April 28, 2026, 3:48 p.m.