Triple
T15234387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunrisers Hyderabad |
E364085
|
entity |
| Predicate | numberOfIPLTitles |
P63945
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Sunrisers Hyderabad, numberOfIPLTitles, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIPLTitles Context triple: [Sunrisers Hyderabad, numberOfIPLTitles, 1]
-
A.
ledTeamToIPLTitle
Indicates that a person, typically a captain or coach, successfully guided a cricket team to winning an Indian Premier League (IPL) championship.
-
B.
IPLTeam
Indicates a relationship where an entity is recognized as a team that participates in the Indian Premier League (IPL) cricket competition.
-
C.
numberOfLeagueTitles
chosen
Indicates the total count of league championship titles that an entity has won.
-
D.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
E.
mostTitlesTeamTitles
Indicates that the referenced team holds the highest number of titles compared to all other teams in the specified context.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.