Triple
T25675924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deshmukh |
E643802
|
entity |
| Predicate | derivesFromTitle |
P12689
|
FINISHED |
| Object | Deshmukh (feudal title) |
—
|
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: Deshmukh (feudal title) | Statement: [Deshmukh, derivesFromTitle, Deshmukh (feudal title)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivesFromTitle Context triple: [Deshmukh, derivesFromTitle, Deshmukh (feudal title)]
-
A.
titleDerivedFrom
chosen
Indicates that the title of one entity is obtained or adapted from another entity.
-
B.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
C.
inheritsTitle
Indicates that one entity receives and assumes a formal title or rank previously held by another entity, typically through succession or inheritance.
-
D.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
E.
equivalentOrRelatedTitle
Indicates that two titles are the same or sufficiently similar in meaning, role, or status to be treated as equivalent or closely related.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f600c18a14819081b5914dd3b0f9cf |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 7:38 p.m.