Triple
T5261206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Division (ABA) |
E118827
|
entity |
| Predicate | numberOfPrimaryConferencesInLeague |
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: [Western Division (ABA), numberOfPrimaryConferencesInLeague, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPrimaryConferencesInLeague Context triple: [Western Division (ABA), numberOfPrimaryConferencesInLeague, 2]
-
A.
hasNumberOfConferencesInLeague
chosen
Indicates the quantity of conferences that exist within a given league.
-
B.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
-
C.
numberOfLeagues
Indicates the quantity of leagues associated with or attributed to a given entity or relationship.
-
D.
teamsPerConference
Indicates the number of teams that are associated with or belong to a given conference.
-
E.
seasonNumberInConferenceHistory
Indicates the ordinal number of a particular season within the overall chronological history of a conference.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcf026c8190881b6e14b962a3c9 |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.