Triple
T8674018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Conference Finals |
E205868
|
entity |
| Predicate | typicalNumberOfGamesRange |
P84413
|
FINISHED |
| Object | 4 to 7 games per series |
—
|
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 to 7 games per series | Statement: [NBA Conference Finals, typicalNumberOfGamesRange, 4 to 7 games per series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNumberOfGamesRange Context triple: [NBA Conference Finals, typicalNumberOfGamesRange, 4 to 7 games per series]
-
A.
typicalPegRange
Indicates the usual or standard range of peg values within which something is normally maintained or expected to operate.
-
B.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
-
C.
numberOfTableGames
Indicates the quantity of table games associated with or available in relation to a given entity.
-
D.
gameCountMaximum
Indicates the maximum number of games allowed or recorded in a given context or relationship.
-
E.
gamesFrequency
Indicates how often the related entities engage in playing games together or participate in game-related activities.
- F. None of above. chosen
Provenance (4 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc4ae517108190a71a86349815f4ce |
completed | March 31, 2026, 10:29 p.m. |
Created at: March 30, 2026, 6:31 p.m.