Triple
T30779171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican National Trios Championship |
E783761
|
entity |
| Predicate | isScriptedSportTitle |
P156081
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mexican National Trios Championship, isScriptedSportTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isScriptedSportTitle Context triple: [Mexican National Trios Championship, isScriptedSportTitle, true]
-
A.
isScriptedEntertainment
chosen
Indicates that the entertainment content is pre-planned and follows a written script rather than being spontaneous or unscripted.
-
B.
scriptedAs
Indicates that one entity is written or programmed to behave, appear, or function in the manner defined by another entity (such as a script, role, or specification).
-
C.
hasScriptedGenre
Indicates that an entity (such as a show or production) belongs to or is associated with a particular scripted genre.
-
D.
hasScriptedNature
Indicates that something is predetermined or follows a written or planned script rather than occurring spontaneously.
-
E.
isScriptedInPart
Indicates that an entity is partially written, authored, or scripted in the specified language or scripting system, but not entirely.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe367d8819088c30ff3cb3866bb |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.