Triple
T6107186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 1 |
E136144
|
entity |
| Predicate | bannedTechnique |
P3047
|
FINISHED |
| Object | eye gouging |
—
|
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: eye gouging | Statement: [UFC 1, bannedTechnique, eye gouging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bannedTechnique Context triple: [UFC 1, bannedTechnique, eye gouging]
-
A.
usedByTechnique
Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
-
B.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
C.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
D.
bannedAfter
Indicates that one entity becomes prohibited or forbidden only after the occurrence or establishment of another specified entity or event.
-
E.
condemnedPractice
Indicates that a particular practice is judged to be morally, legally, or socially unacceptable and is explicitly disapproved or denounced.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b806bd48190b6f020af3391adb8 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.