Triple
T26346497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE European Championship |
E662788
|
entity |
| Predicate | unificationMatchType |
P10212
|
FINISHED |
| Object | title vs. title match |
—
|
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: title vs. title match | Statement: [WWE European Championship, unificationMatchType, title vs. title match]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unificationMatchType Context triple: [WWE European Championship, unificationMatchType, title vs. title match]
-
A.
unificationType
Indicates the specific manner or category in which two or more entities are combined, merged, or treated as a single unified whole.
-
B.
matchType
chosen
Indicates the specific category or nature of how two or more entities correspond or align with each other within a given context.
-
C.
typicalMatchType
Indicates the usual or most common type of match or pairing that characterizes how two entities are related or aligned.
-
D.
usesMatchType
Indicates that one entity applies or operates according to a specific type or category of matching criteria defined by another entity.
-
E.
includesMatchType
Indicates that one entity’s set or collection contains an element with a specified type of match (e.g., exact, partial, or pattern-based) to another entity.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa718188190a3f4d76db2cdf670 |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:42 p.m.