Triple
T24697044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khargone Assembly constituency |
E611618
|
entity |
| Predicate | isPartOfLowerHouse |
P127551
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Khargone Assembly constituency, isPartOfLowerHouse, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfLowerHouse Context triple: [Khargone Assembly constituency, isPartOfLowerHouse, Yes]
-
A.
hasSpeakerInLowerHouse
Indicates that an entity serves as the presiding officer (speaker) of a specified lower house in a bicameral legislature.
-
B.
isPartOfNationalLegislature
Indicates that an entity is a constituent body, chamber, or unit within a country's official national legislative institution.
-
C.
hasLowerHouseSeats
Indicates the number of seats an entity holds in the lower house of a bicameral legislature.
-
D.
isPartOfStateLegislature
chosen
Indicates that an entity serves as a member or component within a specific state-level legislative body.
-
E.
haveUpperHouseRepresentationIn
Indicates that an entity holds or is assigned representation in a specified upper legislative chamber.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 3:22 a.m.