Triple
T35905690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC Welterweight Championship |
E1038465
|
entity |
| Predicate | recordMostConsecutiveTitleDefensesNumber |
P195914
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [UFC Welterweight Championship, recordMostConsecutiveTitleDefensesNumber, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordMostConsecutiveTitleDefensesNumber Context triple: [UFC Welterweight Championship, recordMostConsecutiveTitleDefensesNumber, 9]
-
A.
recordMostConsecutiveTitleDefensesHolder
chosen
Indicates the entity that holds the record for the highest number of consecutive title defenses in a given competition or context.
-
B.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
C.
consecutiveLeagueTitlesPeriod
Indicates a time span during which a team or entity wins league titles in consecutive seasons without interruption.
-
D.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
E.
recordHolderMostTitles
Indicates that one entity holds the highest number of titles (e.g., championships, awards, or similar distinctions) compared to all other entities in a given 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
Created at: May 3, 2026, 4:07 p.m.