Triple
T3059977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Division (NBA) |
E60573
|
entity |
| Predicate | numberOfTeamsVariedBetween |
P18041
|
FINISHED |
| Object | 4 and 9 |
—
|
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 and 9 | Statement: [Western Division (NBA), numberOfTeamsVariedBetween, 4 and 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsVariedBetween Context triple: [Western Division (NBA), numberOfTeamsVariedBetween, 4 and 9]
-
A.
numberOfTeamsVariesBetween
chosen
Indicates that the count of teams involved changes within a specified range or across different instances or conditions.
-
B.
numberOfTeamsVariesByYear
Indicates that the number of teams involved changes depending on the specific year.
-
C.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
-
D.
formerNumberOfTeams
Indicates the number of teams that an entity previously had before a change or reorganization.
-
E.
advancesNumberOfTeams
Indicates that one entity causes an increase in how many teams progress or move forward in a given context.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9cf9188190b43f50edc009030d |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.