Triple
T10511253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA realignment of 2004–05 season |
E247919
|
entity |
| Predicate | introducedNumberOfConferences |
P8309
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [NBA realignment of 2004–05 season, introducedNumberOfConferences, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedNumberOfConferences Context triple: [NBA realignment of 2004–05 season, introducedNumberOfConferences, 2]
-
A.
hasNumberOfConferencesInLeague
chosen
Indicates the quantity of conferences that exist within a given league.
-
B.
conferenceTitleCount
Indicates the number of distinct conference titles associated with a given entity or context.
-
C.
hasConference
Indicates that an entity organizes, hosts, or is associated with a specific conference.
-
D.
conferencesCovered
Indicates that one entity has reported on, documented, or provided coverage of one or more conferences associated with another entity.
-
E.
includeConferences
Indicates that certain conferences are to be contained within, or added as part of, a specified collection, context, or result set.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b5fcb8819087a23a2b26aecd70 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:27 p.m.