Triple
T15989010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sardar Patel Stadium |
E387772
|
entity |
| Predicate | namedForOffice |
P16867
|
FINISHED |
| Object | first Deputy Prime Minister of India |
—
|
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: first Deputy Prime Minister of India | Statement: [Sardar Patel Stadium, namedForOffice, first Deputy Prime Minister of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForOffice Context triple: [Sardar Patel Stadium, namedForOffice, first Deputy Prime Minister of India]
-
A.
namedForWork
Indicates that one entity is named in honor of, or derived from the title of, a particular work (such as a book, film, artwork, or other creative production).
-
B.
namedTo
Indicates that one entity has been given or assigned a specific name referring to another entity.
-
C.
natureOfOffice
Indicates the type or character of an office or position, specifying what kind of role or function it represents.
-
D.
namedForWorkOn
Indicates that an entity is named in honor of another entity specifically because of that entity’s work or contributions in a particular field or endeavor.
-
E.
namedForPoliticalRole
chosen
Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.