Triple
T24944505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | minimumweight |
E624149
|
entity |
| Predicate | typicalRoundsForTitleBouts |
P179175
|
FINISHED |
| Object | 12 |
—
|
LITERAL FINISHED |
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: 12 | Statement: [minimumweight, typicalRoundsForTitleBouts, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRoundsForTitleBouts Context triple: [minimumweight, typicalRoundsForTitleBouts, 12]
-
A.
numberOfBouts
Indicates the count of distinct bouts or separate occurrences of a repeated action or event associated with an entity.
-
B.
roundsPerTournament
Indicates the number of rounds that occur within a single tournament.
-
C.
roundOfChampionship
Indicates the specific stage or round within a championship competition in which an event, match, or result takes place.
-
D.
numberOfTournamentFights
Indicates the total count of fights that occurred within a specific tournament.
-
E.
numberOfRoundsToWin
Indicates the number of rounds an entity must win in a competition or game to be declared the overall winner.
- F. None of above. chosen
Provenance (4 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 18, 2026, 5:53 a.m.