Triple
T29461533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaffar Manzil |
E747249
|
entity |
| Predicate | hasLanguageInDailyUse |
P77346
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Gaffar Manzil, hasLanguageInDailyUse, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageInDailyUse Context triple: [Gaffar Manzil, hasLanguageInDailyUse, Hindi]
-
A.
isWidelySpokenIn
Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
-
B.
hasSignificantNonOfficialLanguageUse
Indicates that a substantial portion of communication or activity occurs in a language that is not officially recognized in the relevant context.
-
C.
eraOfMajorUseAsLinguaFranca
Indicates the historical time period during which a language was predominantly used as a lingua franca across regions or communities.
-
D.
hasLanguageInhabitants
chosen
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
-
E.
isSpokenAsFirstLanguageBy
Indicates that a language is the primary (native) language used by a person or group for everyday communication.
- 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 28, 2026, 3:50 p.m.