Triple
T1167573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England Patriots Hall of Fame |
E24832
|
entity |
| Predicate | featuresContent |
P2003
|
FINISHED |
| Object | Patriots Super Bowl championship history |
—
|
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: Patriots Super Bowl championship history | Statement: [New England Patriots Hall of Fame, featuresContent, Patriots Super Bowl championship history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresContent Context triple: [New England Patriots Hall of Fame, featuresContent, Patriots Super Bowl championship history]
-
A.
featuresText
chosen
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
-
B.
article2Content
Indicates that one article serves as the content or body text for another article or higher-level publication entity.
-
C.
featuresCross
Indicates that one feature or element intersects or passes across another in space or structure.
-
D.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
E.
featuresGroup
Indicates that an entity includes or is associated with a specific group as one of its features or components.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccd75048190b8ce88237c1a748b |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.