Triple
T5635136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989–90 NBA championship |
E147928
|
entity |
| Predicate | totalFranchiseTitleNumber |
P64721
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1989–90 NBA championship, totalFranchiseTitleNumber, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalFranchiseTitleNumber Context triple: [1989–90 NBA championship, totalFranchiseTitleNumber, 2]
-
A.
mostSuccessfulFranchiseByTitles
Indicates the franchise that holds the highest number of titles (e.g., championships or equivalent honors) within a given context.
-
B.
hasMostSuccessfulFranchiseByTitles
Indicates that one entity is the franchise holding the highest number of titles (e.g., championships or awards) within a specified domain compared to all other franchises.
-
C.
franchiseEntryNumber
Indicates the ordinal position or sequence number of an entry within a franchise series.
-
D.
franchiseRecord
Indicates a record of performance, achievement, or statistics that is the best or most significant within a particular franchise or organization.
-
E.
includedFranchise
Indicates that one franchise is contained within, or forms part of, another franchise.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0226286208190b6ccf036cc09fe82 |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1f12ec8190b4b9d9ee31cabe19 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:41 p.m.