Triple
T13242845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intercontinental Championship (defended on associated SmackDown) |
E315322
|
entity |
| Predicate | cardPosition |
P108710
|
FINISHED |
| Object | mid-card |
—
|
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: mid-card | Statement: [Intercontinental Championship (defended on associated SmackDown), cardPosition, mid-card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardPosition Context triple: [Intercontinental Championship (defended on associated SmackDown), cardPosition, mid-card]
-
A.
hasCardBack
Indicates that an entity possesses or is associated with a specific card back design or reverse side.
-
B.
cardColor
Indicates the color attribute assigned to a card in the relationship.
-
C.
cardSize
Indicates the specific dimensions or format assigned to a card within a given context or system.
-
D.
cardClass
Indicates the classification or category to which a given card belongs within a defined card system or schema.
-
E.
cardType
Indicates the classification or category assigned to a card within a given system or context.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d59e84c8190a9e547d0fe26a5f9 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:23 p.m.