Triple
T3607041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1981 NBA Finals |
E76396
|
entity |
| Predicate | titleNumberForFranchise |
P32585
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [1981 NBA Finals, titleNumberForFranchise, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleNumberForFranchise Context triple: [1981 NBA Finals, titleNumberForFranchise, 14]
-
A.
titleNumber
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
B.
franchiseEntryNumber
Indicates the ordinal position or sequence number of an entry within a franchise series.
-
C.
franchiseInstallmentNumber
Indicates the sequential position or installment number of a work within a larger franchise or series.
-
D.
pennantNumberForFranchise
Indicates the specific pennant (league championship) number associated with a particular sports franchise.
-
E.
championshipNumberForFranchise
chosen
Indicates the number of championships that have been won by a given franchise.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1e33cfc8190afc716b19480fbce |
completed | March 8, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.