Triple
T34804037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 257 |
E1003299
|
entity |
| Predicate | featuredWeightClass |
P180209
|
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: [UFC 257, featuredWeightClass, lightweight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredWeightClass Context triple: [UFC 257, featuredWeightClass, lightweight]
-
A.
weightClass
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
B.
weightClassAlternativeName
Indicates that one weight class is referred to by an alternative name or label.
-
C.
titleFightWeightClass
chosen
Indicates the weight class in which a title fight is contested.
-
D.
weightClassFocus
Indicates a relationship where attention, effort, or analysis is specifically directed toward a particular weight class within a broader set of categories or levels.
-
E.
launchWeightClass
Indicates the weight category or class into which a launch (typically of a vehicle, payload, or mission) is classified based on its mass.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a036b0755888190a68a673664f0ea46 |
completed | May 12, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_6a036228676c8190aac9c90f7d8cedf7 |
completed | May 12, 2026, 5:23 p.m. |
Created at: May 3, 2026, 3:59 p.m.