Triple
T3157478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA franchise |
E66018
|
entity |
| Predicate | hasRosterLimit |
P3315
|
FINISHED |
| Object | 15 standard contracts |
—
|
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: 15 standard contracts | Statement: [NBA franchise, hasRosterLimit, 15 standard contracts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRosterLimit Context triple: [NBA franchise, hasRosterLimit, 15 standard contracts]
-
A.
hasMaximumNumberOfMembers
Indicates that there is an upper limit on how many members can be associated with a given entity.
-
B.
teamRosterLimit
chosen
Indicates the maximum number of members that are allowed to be on a team’s roster.
-
C.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
D.
hasCurrentNumberOfMembers
Indicates the current count of members associated with a given entity.
-
E.
rosterSize
Indicates the total number of individuals included on a given roster.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ec0da88190a83f3448ac76e98e |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.