Triple
T19738416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Basketball Association playoffs |
E474047
|
entity |
| Predicate | secondMostTitlesCount |
P67654
|
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: [American Basketball Association playoffs, secondMostTitlesCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondMostTitlesCount Context triple: [American Basketball Association playoffs, secondMostTitlesCount, 2]
-
A.
teamWithSecondMostTitles
chosen
Indicates that the subject is the team that has won the second-highest number of titles within a given competition or context.
-
B.
runnerUpMostTitles
Indicates that an entity holds the record for having the highest number of runner-up finishes or second-place titles in a given competition or context.
-
C.
runnerUpPreviousTitleCount
Indicates the number of times an entity has previously finished as runner-up in a given competition or title context.
-
D.
recordHolderMostTitles
Indicates that one entity holds the highest number of titles (e.g., championships, awards, or similar distinctions) compared to all other entities in a given context.
-
E.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
- 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_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. |
Created at: April 10, 2026, 1:47 p.m.