Triple
T24984829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao vs. Juan Manuel Márquez |
E625274
|
entity |
| Predicate | thirdBoutVenue |
P7089
|
FINISHED |
| Object | MGM Grand Garden Arena |
—
|
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: MGM Grand Garden Arena | Statement: [Manny Pacquiao vs. Juan Manuel Márquez, thirdBoutVenue, MGM Grand Garden Arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdBoutVenue Context triple: [Manny Pacquiao vs. Juan Manuel Márquez, thirdBoutVenue, MGM Grand Garden Arena]
-
A.
fourthBoutVenue
Indicates the venue or location where the fourth bout or match in a sequence takes place.
-
B.
thirdBoutDate
Indicates the date on which the third bout, match, or contest in a sequence takes place.
-
C.
thirdPlacePlayOffVenue
Indicates the venue where the third-place playoff match of a competition is held.
-
D.
game3Venue
chosen
Indicates the venue or location where the third game in a series or sequence takes place.
-
E.
fourthBoutCity
Indicates that an entity’s fourth competitive bout or match took place in the specified city.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:03 a.m.