Triple
T35527020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gleison Tibau |
E1026696
|
entity |
| Predicate | hasCompetedInWeightClass |
P180898
|
FINISHED |
| Object | lightweight |
—
|
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: lightweight | Statement: [Gleison Tibau, hasCompetedInWeightClass, lightweight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompetedInWeightClass Context triple: [Gleison Tibau, hasCompetedInWeightClass, lightweight]
-
A.
competesInWeightClass
chosen
Indicates that an entity participates in a competition within a specific weight classification or division.
-
B.
performedByWeightClass
Indicates that an action or event is carried out by an entity belonging to a specific weight class.
-
C.
weightClass
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
D.
weightClassRestriction
Indicates that an action or relationship is limited or governed by specified weight categories or thresholds.
-
E.
weightClassBelow
Indicates that one entity belongs to a lower (lighter) weight class than another entity.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.