Triple
T160452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Basketball Association |
E3272
|
entity |
| Predicate | numberOfTeamsAtPeak |
P2657
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [American Basketball Association, numberOfTeamsAtPeak, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsAtPeak Context triple: [American Basketball Association, numberOfTeamsAtPeak, 11]
-
A.
teamCountAtPeak
chosen
Indicates the number of team members involved at the highest or peak point of activity, size, or performance.
-
B.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
-
C.
numberOfTeamsInUnitedStates
Indicates the total count of teams that are located within or belong to the United States.
-
D.
foundedWithNumberOfTeams
Indicates the number of teams involved at the time an organization, league, or competition was founded.
-
E.
membershipPeakYear
Indicates the year in which an entity’s membership count reached its highest level.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25856d934819095460b2ea566eb6b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256623704819089d9eeefe05858ce |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.