Triple
T24984837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao vs. Juan Manuel Márquez |
E625274
|
entity |
| Predicate | thirdBoutCountry |
P102216
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Manny Pacquiao vs. Juan Manuel Márquez, thirdBoutCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdBoutCountry Context triple: [Manny Pacquiao vs. Juan Manuel Márquez, thirdBoutCountry, United States]
-
A.
thirdFightCountry
chosen
Indicates the country where the third fight (in a sequence of fights or matches) takes place or is associated with.
-
B.
thirdWinnerCountry
Indicates the country associated with the entity that placed third in a competition or ranking.
-
C.
thirdPlaceCountry
Indicates the country that finished in third place in a given competition or ranking.
-
D.
thirdPlaceCountryCode
Indicates the country (by its code) that finished in third place in a given competition or ranking.
-
E.
thirdPlaceNationality
Indicates the nationality of the entity that finished in third place in a competition or ranking.
- 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_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 6:03 a.m.