Triple
T24984827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao vs. Juan Manuel Márquez |
E625274
|
entity |
| Predicate | firstBoutVenue |
P96358
|
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, firstBoutVenue, MGM Grand Garden Arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBoutVenue Context triple: [Manny Pacquiao vs. Juan Manuel Márquez, firstBoutVenue, MGM Grand Garden Arena]
-
A.
secondBoutVenue
Indicates the location or venue where the second bout or match in a sequence takes place.
-
B.
fourthBoutVenue
Indicates the venue or location where the fourth bout or match in a sequence takes place.
-
C.
firstODIVenue
Indicates that the subject is the venue where an ODI (One Day International) cricket match was first held or hosted.
-
D.
firstOfficialMatchVenue
chosen
Indicates the venue where an entity’s first official match or game took place.
-
E.
firstBoutDate
Indicates the date on which an entity’s first bout, match, or competitive event took 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 18, 2026, 6:03 a.m.