Triple
T28073667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Indian Premier League |
E709473
|
entity |
| Predicate | reasonForUAEPhase |
P180220
|
FINISHED |
| Object | 2014 Indian general election |
—
|
NE NERFINISHED |
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: 2014 Indian general election | Statement: [2014 Indian Premier League, reasonForUAEPhase, 2014 Indian general election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForUAEPhase Context triple: [2014 Indian Premier League, reasonForUAEPhase, 2014 Indian general election]
-
A.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
B.
reasonForGrant
Indicates the justification, purpose, or cause for which a grant is awarded or provided.
-
C.
reasonForConversion
Indicates the cause, motivation, or justification behind a particular conversion event or change.
-
D.
inUniverseReasonFor
Indicates that one entity serves as the in-universe explanation or justification for the existence, behavior, or characteristics of another entity within a fictional setting.
-
E.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 27, 2026, 8:47 p.m.