Triple
T6001744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CollegeInsider.com Postseason Tournament |
E133612
|
entity |
| Predicate | laterFieldSize |
P7759
|
FINISHED |
| Object | 24 teams |
—
|
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: 24 teams | Statement: [CollegeInsider.com Postseason Tournament, laterFieldSize, 24 teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterFieldSize Context triple: [CollegeInsider.com Postseason Tournament, laterFieldSize, 24 teams]
-
A.
fieldSize
chosen
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
B.
laterCapacity
Indicates that one entity’s capacity or capability occurs, becomes available, or is realized at a later time than another’s.
-
C.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
D.
stateSizeBytes
Indicates the size of a given state or stateful data in terms of the number of bytes it occupies.
-
E.
overField
Indicates a spatial relationship where one entity is positioned above or extends across the area of a field.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee7c0e08190a6e78969448b070a |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.