Triple
T30653706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homenaje a Dos Leyendas |
E780328
|
entity |
| Predicate | typicalCardStructure |
P207292
|
FINISHED |
| Object | multiple undercard matches and one or more Apuestas main events |
—
|
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: multiple undercard matches and one or more Apuestas main events | Statement: [Homenaje a Dos Leyendas, typicalCardStructure, multiple undercard matches and one or more Apuestas main events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCardStructure Context triple: [Homenaje a Dos Leyendas, typicalCardStructure, multiple undercard matches and one or more Apuestas main events]
-
A.
cardExample
Indicates that something is an illustrative or sample instance of a card (such as a prototype, demo, or example card) rather than a primary or production card.
-
B.
cardTextType
Indicates the type or category of textual content associated with a card (e.g., title, body text, caption, or label).
-
C.
cardVariant
Indicates that one card is a specific version or variation of another base card.
-
D.
cardText
Indicates that one entity is the textual content displayed on a card associated with another entity.
-
E.
cardClass
Indicates the classification or category to which a given card belongs within a defined card system or schema.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8:30 p.m.