Triple
T24984835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao vs. Juan Manuel Márquez |
E625274
|
entity |
| Predicate | firstBoutCountry |
P8095
|
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, firstBoutCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBoutCountry Context triple: [Manny Pacquiao vs. Juan Manuel Márquez, firstBoutCountry, United States]
-
A.
firstForCountry
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
-
B.
countryOfFirstEvent
chosen
Indicates the country in which the first event in a sequence or series took place.
-
C.
firstHolderCountry
Indicates the country that initially held or possessed the referenced entity before any subsequent transfers or changes in ownership.
-
D.
secondBoutCountry
Indicates the country in which the second bout or match takes place.
-
E.
winningCountryFirstVictory
Indicates that the country achieved its first-ever victory in the specified competition, event, or context.
- 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_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 18, 2026, 6:03 a.m.