Triple
T35804931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raw Tag Team Championship |
E1035077
|
entity |
| Predicate | titleDesign |
P200481
|
FINISHED |
| Object | dual side plates |
—
|
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: dual side plates | Statement: [Raw Tag Team Championship, titleDesign, dual side plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleDesign Context triple: [Raw Tag Team Championship, titleDesign, dual side plates]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
titleDescription
Indicates that one entity serves as a descriptive or explanatory subtitle or summary associated with the title of another entity.
-
C.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
-
D.
titleHeading
Indicates that one entity serves as the main title or heading label for another entity, typically summarizing or naming its content.
-
E.
titleOfTitle
Indicates that one title is the title of another title (e.g., a sub-title or alternate title associated with a primary title).
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69ff8cec1e4c8190b2d66b3e0f913bfd |
completed | May 9, 2026, 7:37 p.m. |
Created at: May 3, 2026, 4:06 p.m.