Triple
T5006426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA scoring champion |
E112504
|
entity |
| Predicate | minimumGamesRequirement |
P27983
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [NBA scoring champion, minimumGamesRequirement, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumGamesRequirement Context triple: [NBA scoring champion, minimumGamesRequirement, yes]
-
A.
minimumNumberOfGames
chosen
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
-
B.
numberOfWinsRequired
Indicates the specific count of wins an entity must achieve to meet a defined goal, threshold, or condition.
-
C.
requiresMinimumScore
Indicates that one entity can only be obtained, accessed, or considered valid if another entity’s score meets or exceeds a specified minimum threshold.
-
D.
maximumAgeRequirement
Indicates that there is an upper age limit that an entity must not exceed in order for a condition, participation, or eligibility to apply.
-
E.
minimumNumberOfMembers
Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.