Triple
T24765638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Érik Morales |
E619573
|
entity |
| Predicate | hasWonTitleInDivision |
P10278
|
FINISHED |
| Object | super bantamweight world title |
—
|
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: super bantamweight world title | Statement: [Érik Morales, hasWonTitleInDivision, super bantamweight world title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonTitleInDivision Context triple: [Érik Morales, hasWonTitleInDivision, super bantamweight world title]
-
A.
hasWonTitleType
Indicates that an entity has won a title of a specified type.
-
B.
hasWonRegionalTitle
Indicates that an entity has achieved victory in a competition at the regional level and been awarded the corresponding title.
-
C.
wonDivisionTitle
chosen
Indicates that an entity secured first place in its competitive division, earning the division championship title.
-
D.
wonNationalTitle
Indicates that an entity has achieved first place or championship status in a competition at the national level.
-
E.
divisionTitlesWonWith
Indicates that one entity has won a specified number of division titles in association with another entity (such as a team, league, or organization).
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 18, 2026, 4:28 a.m.