Triple
T2736058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julio César Chávez |
E60632
|
entity |
| Predicate | unbeatenStreakYears |
P41741
|
FINISHED |
| Object | 1980–1994 |
—
|
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: 1980–1994 | Statement: [Julio César Chávez, unbeatenStreakYears, 1980–1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unbeatenStreakYears Context triple: [Julio César Chávez, unbeatenStreakYears, 1980–1994]
-
A.
championshipDroughtLengthYears
Indicates the number of years that have elapsed since an entity last won a championship.
-
B.
endedChampionshipDrought
Indicates that an entity’s achievement brought an end to a prolonged period without a championship title for a team or organization.
-
C.
hittingStreakYear
Indicates the year during which an entity’s hitting streak occurred or was recorded.
-
D.
consecutiveWinningSeasons
Indicates that an entity (such as a team or individual) has achieved winning seasons in back-to-back or uninterrupted consecutive years.
-
E.
unbeatenLeagueSeason
Indicates that a team completed an entire league season without losing any match.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb11c66c81909058f2978aa5fae9 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.