Triple
T20749452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMA |
E510679
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Mixed Martial Arts |
—
|
NE NERFINISHED |
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: Mixed Martial Arts | Statement: [MMA, fullName, Mixed Martial Arts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mixed Martial Arts Context triple: [MMA, fullName, Mixed Martial Arts]
-
A.
MMA
MMA is the commonly used abbreviation for Brazil’s Ministry of the Environment, the federal body responsible for environmental policy and conservation in the country.
-
B.
MMA
The Music Modernization Act is a U.S. law that modernizes music licensing and royalty payments for songwriters and rights holders in the digital streaming era.
-
C.
MMA
chosen
MMA (Mixed Martial Arts) is a full-contact combat sport that allows a wide variety of fighting techniques from different martial arts disciplines, including striking and grappling, both standing and on the ground.
-
D.
MMA
MMA is the commonly used acronym for the Chilean Ministry of Environment, the government body responsible for environmental policy and regulation in Chile.
-
E.
UFC
UFC is the commonly used abbreviation for the University of Franche-Comté, a French public university based in Besançon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 12:34 p.m.