Triple
T25771630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palio di Siena |
E649035
|
entity |
| Predicate | numberOfRacingContradePerPalio |
P190471
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Palio di Siena, numberOfRacingContradePerPalio, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRacingContradePerPalio Context triple: [Palio di Siena, numberOfRacingContradePerPalio, 10]
-
A.
numberOfRaces
Indicates the total count of races associated with a given entity or event.
-
B.
racingNumber
Indicates that an entity has been assigned a specific competition or race identification number used to distinguish it from other participants.
-
C.
numberOfContrade
chosen
Indicates the specific count of contrade (districts or wards) associated with or belonging to a given entity.
-
D.
numberOfPlates
Indicates the quantity of plates associated with or involved in a particular entity, event, or context.
-
E.
raceNumberAtTrack
Indicates the specific ordinal number assigned to a race within the sequence of races held at a particular track.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 22, 2026, 5:30 a.m.