Triple
T25996755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benny Paret |
E646505
|
entity |
| Predicate | finalBoutLocation |
P115926
|
FINISHED |
| Object | Madison Square Garden, New York City |
—
|
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: Madison Square Garden, New York City | Statement: [Benny Paret, finalBoutLocation, Madison Square Garden, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalBoutLocation Context triple: [Benny Paret, finalBoutLocation, Madison Square Garden, New York City]
-
A.
finalsLocation
Indicates the place where the final stage or concluding event of something (such as a competition or process) takes place.
-
B.
finalMatchCity
Indicates the city where the final match of a competition or tournament takes place.
-
C.
venueOfFinalMatch
chosen
Indicates the location where the final match of a competition or tournament is held.
-
D.
finalConcertLocation
Indicates the location where a concert or performance ultimately takes place, especially after any changes or planning stages.
-
E.
fourthBoutVenue
Indicates the venue or location where the fourth bout or match in a sequence takes place.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 22, 2026, 8:58 a.m.