Triple
T31504879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Viernes |
E803789
|
entity |
| Predicate | hasMainEvents |
P83350
|
FINISHED |
| Object | CMLL championship matches |
—
|
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: CMLL championship matches | Statement: [Super Viernes, hasMainEvents, CMLL championship matches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainEvents Context triple: [Super Viernes, hasMainEvents, CMLL championship matches]
-
A.
hasMainEventers
Indicates that certain entities are the primary or headline participants in a particular event.
-
B.
hasPublicEventsIn
Indicates that an entity organizes or holds public events within a specified location or context.
-
C.
mainEvents
chosen
Indicates that the referenced entities are the primary or most significant events within a given context, sequence, or narrative.
-
D.
hasOfficialEvents
Indicates that an entity organizes, hosts, or is associated with formally recognized or sanctioned events.
-
E.
numberOfMainEvents
Indicates the total count of primary or most significant events associated with a given entity or context.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a002dd4066c8190945a09ed82f44f3f |
completed | May 10, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_6a002b141f4081909999e14988105f3a |
completed | May 10, 2026, 6:52 a.m. |
Created at: April 30, 2026, 9:46 p.m.