Triple
T9226013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMLL Homenaje a Dos Leyendas |
E221683
|
entity |
| Predicate | typicalMatchStipulation |
P87679
|
FINISHED |
| Object | mask vs mask |
—
|
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: mask vs mask | Statement: [CMLL Homenaje a Dos Leyendas, typicalMatchStipulation, mask vs mask]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMatchStipulation Context triple: [CMLL Homenaje a Dos Leyendas, typicalMatchStipulation, mask vs mask]
-
A.
featuredMatchStipulation
Indicates that a particular rule, condition, or special stipulation is prominently associated with a highlighted or main match.
-
B.
typicalMatchType
Indicates the usual or most common type of match or pairing that characterizes how two entities are related or aligned.
-
C.
mainEventStipulation
Indicates that a specified condition, requirement, or rule must be satisfied for the main event or primary occurrence in a given context.
-
D.
typicalMatchDay
Indicates that the relationship or conditions described correspond to what normally happens on a standard or usual match day.
-
E.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
- F. None of above. chosen
Provenance (4 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9dbd1481909f35a4bee8e0b450 |
completed | April 1, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:28 p.m.