Triple
T5336378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardoli Satyagraha |
E123835
|
entity |
| Predicate | nicknameConferred |
P743
|
FINISHED |
| Object | Sardar for Vallabhbhai Patel |
—
|
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: Sardar for Vallabhbhai Patel | Statement: [Bardoli Satyagraha, nicknameConferred, Sardar for Vallabhbhai Patel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameConferred Context triple: [Bardoli Satyagraha, nicknameConferred, Sardar for Vallabhbhai Patel]
-
A.
nickNameGivenBy
Indicates that one entity assigns or uses a particular nickname for another entity.
-
B.
nicknameForRole
Indicates that one entity is an informal or alternative name commonly used to refer to a particular role or position represented by another entity.
-
C.
honorificNickname
chosen
Indicates that one entity is referred to by a respectful or honorific nickname by another entity or in a given context.
-
D.
nicknameEmphasizes
Indicates that a nickname highlights or draws special attention to a particular characteristic, trait, or aspect of the entity it refers to.
-
E.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85b104c081908b81236a0142e1c8 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.