Triple
T19738086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1973 ABA Playoffs |
E474039
|
entity |
| Predicate | championTitleCountForIndianaPacers |
P137146
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [1973 ABA Playoffs, championTitleCountForIndianaPacers, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTitleCountForIndianaPacers Context triple: [1973 ABA Playoffs, championTitleCountForIndianaPacers, 3]
-
A.
numberOfNBLChampionships
Indicates the number of National Basketball League (NBL) championships that an entity has won.
-
B.
championFirstNBATitle
Indicates that the subject won its first NBA championship title in the referenced season or event.
-
C.
championTitleCountLeBronJames
Indicates the number of championship titles associated with LeBron James.
-
D.
championTitleCountFranchise
Indicates the number of championship titles a franchise has won.
-
E.
hasNBLChampionship
Indicates that an entity has won at least one championship title in the National Basketball League (NBL).
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515f6efc8190a3da113847464399 |
completed | April 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:47 p.m.