Triple
T20749498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMA |
E510679
|
entity |
| Predicate | hasCompetitionArea |
P31168
|
FINISHED |
| Object | cage |
—
|
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: cage | Statement: [MMA, hasCompetitionArea, cage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompetitionArea Context triple: [MMA, hasCompetitionArea, cage]
-
A.
hasCompetition
Indicates that one entity is in a state of rivalry or contest with another entity, typically competing for the same goal, resource, or advantage.
-
B.
hasCompetitionElement
Indicates that one entity includes, involves, or is associated with a specific competitive component, aspect, or feature.
-
C.
hasCompetitionCategory
Indicates that an entity is associated with a specific category or division within a competition.
-
D.
typicalCompetitionArea
chosen
Indicates the usual or standard geographic or contextual area in which a competition or competitive activity typically takes place.
-
E.
hasCompetitionScope
Indicates the extent or boundaries within which a competition, contest, or competitive activity is defined or applies.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c228af288190a20829d45c034c24 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:34 p.m.