Triple
T36199283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC lightweight division |
E1047213
|
entity |
| Predicate | championshipBoutRounds |
P179175
|
FINISHED |
| Object | 5 rounds |
—
|
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: 5 rounds | Statement: [UFC lightweight division, championshipBoutRounds, 5 rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipBoutRounds Context triple: [UFC lightweight division, championshipBoutRounds, 5 rounds]
-
A.
typicalRoundsForTitleBouts
chosen
Indicates the usual or standard number of rounds scheduled for championship (title) fights.
-
B.
numberOfBouts
Indicates the count of distinct bouts or separate occurrences of a repeated action or event associated with an entity.
-
C.
roundOfChampionship
Indicates the specific stage or round within a championship competition in which an event, match, or result takes place.
-
D.
roundsPerTournament
Indicates the number of rounds that occur within a single tournament.
-
E.
thirdFightRounds
Indicates the number of rounds that occurred in the third fight of a series or sequence of fights.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:08 p.m.