Triple
T13869698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Conference Semifinals |
E333416
|
entity |
| Predicate | numberOfTeamsPerConference |
P13510
|
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: [NBA Conference Semifinals, numberOfTeamsPerConference, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsPerConference Context triple: [NBA Conference Semifinals, numberOfTeamsPerConference, 4]
-
A.
teamsPerConference
chosen
Indicates the number of teams that are associated with or belong to a given conference.
-
B.
byeTeamsPerConference
Indicates the number of teams in each conference that receive a bye (i.e., skip a round) in a competition or playoff structure.
-
C.
teamsPerDivision
Indicates the number of teams that are associated with or belong to each division.
-
D.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
-
E.
teamsPerLeague
Indicates the relationship that associates each league with the set or number of teams that belong to or compete in it.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.