Triple
T26514557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | गोडसे परिवार |
E669776
|
entity |
| Predicate | भाषाई_पृष्ठभूमि |
P160812
|
FINISHED |
| Object | हिन्दी-भाषी_परिवार_(संभावित) |
—
|
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: हिन्दी-भाषी_परिवार_(संभावित) | Statement: [गोडसे परिवार, भाषाई_पृष्ठभूमि, हिन्दी-भाषी_परिवार_(संभावित)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: भाषाई_पृष्ठभूमि Context triple: [गोडसे परिवार, भाषाई_पृष्ठभूमि, हिन्दी-भाषी_परिवार_(संभावित)]
-
A.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
B.
linguisticStudies
Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
-
C.
languageAttestedIn
Indicates that evidence exists showing the use or presence of a particular language in a specified place, time, or context.
-
D.
partOfLanguage
Indicates that one linguistic element belongs to, is included within, or is a component of a particular language.
-
E.
languageSubject
Indicates that a particular language is the subject or topic being studied, discussed, or otherwise focused on in relation to another entity.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61394b50c81909e628b2e5b1aa3d5 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 27, 2026, 1:22 a.m.