Triple
T27879172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knockouts Division |
E705039
|
entity |
| Predicate | hasSecondaryTitle |
P90082
|
FINISHED |
| Object | Impact Knockouts World Tag Team Championship |
—
|
NE NERFINISHED |
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: Impact Knockouts World Tag Team Championship | Statement: [Knockouts Division, hasSecondaryTitle, Impact Knockouts World Tag Team Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryTitle Context triple: [Knockouts Division, hasSecondaryTitle, Impact Knockouts World Tag Team Championship]
-
A.
hasSecondarySubject
Indicates that an entity is associated with an additional, non-primary subject in a given context or relationship.
-
B.
hasPrimaryTitle
Indicates that an entity is associated with its main or official title, distinguishing it from any alternative or secondary titles.
-
C.
hasSecondary
chosen
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
D.
hasSecondarySee
Indicates that an entity has an additional, secondary “see also” reference or cross-link to another related entity.
-
E.
secondSeriesTitle
Indicates that an entity has a second series whose title is given by the related value.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 27, 2026, 6:29 p.m.