Triple
T5869791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 NBA Finals |
E130484
|
entity |
| Predicate | spursTitleCountAfterSeries |
P66592
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [2014 NBA Finals, spursTitleCountAfterSeries, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spursTitleCountAfterSeries Context triple: [2014 NBA Finals, spursTitleCountAfterSeries, 5]
-
A.
SpursTitleCountAfterSeries
chosen
Indicates the number of championship titles the Spurs have won after the completion of a specified series.
-
B.
winningTeamLeaguePennantCountAfterSeries
Indicates the total number of league pennants that the winning team has accumulated after the completion of a given series.
-
C.
RedSoxLeaguePennantCountAfterSeries
Indicates the number of league pennants the Boston Red Sox have won after the completion of a specified series.
-
D.
championTitleCountSinceMoveToSanFrancisco
Indicates the number of championship titles an entity has won since relocating to San Francisco.
-
E.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.