Triple
T22924252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhatarpur (Madhya Pradesh Assembly constituency) |
E569253
|
entity |
| Predicate | languageMajorityState |
P11430
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Chhatarpur (Madhya Pradesh Assembly constituency), languageMajorityState, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageMajorityState Context triple: [Chhatarpur (Madhya Pradesh Assembly constituency), languageMajorityState, Hindi]
-
A.
largestStateByPopulation
Indicates that the subject is the state with the highest population among a specified set of states or within a given region.
-
B.
majorityLanguageOf
chosen
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
-
C.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
D.
officialLanguageOfSendingState
Indicates that a particular language is the designated official language used by the state that is sending a representative, document, or communication.
-
E.
representedState
Indicates that one entity serves as a representation or depiction of the state or condition of 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d7973c8190b09a5690fd1d3f28 |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:43 p.m.