Triple
T12823980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 NCAA Tournament |
E306600
|
entity |
| Predicate | FloridaTitleCount |
P4419
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [2006 NCAA Tournament, FloridaTitleCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FloridaTitleCount Context triple: [2006 NCAA Tournament, FloridaTitleCount, 1]
-
A.
titleNumber
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
B.
numberOfEstates
Indicates the total count of estates associated with a given entity or context.
-
C.
totalFranchiseTitleNumber
Indicates the total count of titles associated with a given franchise across all its installments or entries.
-
D.
titleCount
chosen
Indicates the number of distinct titles associated with an entity within a given context.
-
E.
originalNumberOfEstates
Indicates the total count of estates that existed initially, before any changes or subsequent events.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96edcc99c8190986cd78fe4714835 |
completed | April 10, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69d964100f7481909a197396003d4a71 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:32 p.m.