Triple
T11886016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 NCAA Women’s Final Four |
E282781
|
entity |
| Predicate | bracketRegionCount |
P27449
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2014 NCAA Women’s Final Four, bracketRegionCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bracketRegionCount Context triple: [2014 NCAA Women’s Final Four, bracketRegionCount, 4]
-
A.
hasBracketPosition
Indicates that an entity occupies or is assigned a specific position within a bracket or ordered bracket structure.
-
B.
hasBracket
Indicates that one entity possesses, includes, or is associated with a bracket component or structure.
-
C.
bracketSize
chosen
Indicates the size or capacity of a bracket used to group or structure related elements.
-
D.
usesRegionalBrackets
Indicates that one entity adopts or applies the style, format, or conventions of brackets specific to a particular region in relation to another entity or context.
-
E.
branchCount
Indicates the number of branches associated with a given entity or structure.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a13370819086386fecb99e4f0b |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.