Triple
T22146679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajit Wadekar |
E547304
|
entity |
| Predicate | ledToSeriesWin |
P120091
|
FINISHED |
| Object | India Test series win in West Indies 1971 |
—
|
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: India Test series win in West Indies 1971 | Statement: [Ajit Wadekar, ledToSeriesWin, India Test series win in West Indies 1971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledToSeriesWin Context triple: [Ajit Wadekar, ledToSeriesWin, India Test series win in West Indies 1971]
-
A.
hasWonSeries
chosen
Indicates that one entity has achieved overall victory in a multi-game or multi-event series against another entity.
-
B.
wonChampionshipInSeries
Indicates that an entity secured a championship title during a specified series or sequence of competitive events.
-
C.
seriesWinningGame
Indicates that a particular game is the decisive or clinching game in which one side wins the overall series.
-
D.
teamDominatedSeries
Indicates that one team overwhelmingly outperformed and controlled the outcome of a multi-game series against another team.
-
E.
shortLedToSeries
Indicates that a short-form work or piece directly resulted in or inspired the creation of a longer series.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f156988190bc9a24a37418e849 |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:33 p.m.