Triple
T4534238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 74th Constitutional Amendment Act of India |
E106367
|
entity |
| Predicate | minimumReservationForWomenInChairpersonOffices |
P45895
|
FINISHED |
| Object | one-third of total number of offices |
—
|
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: one-third of total number of offices | Statement: [74th Constitutional Amendment Act of India, minimumReservationForWomenInChairpersonOffices, one-third of total number of offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumReservationForWomenInChairpersonOffices Context triple: [74th Constitutional Amendment Act of India, minimumReservationForWomenInChairpersonOffices, one-third of total number of offices]
-
A.
hasChairCount
Indicates the number of chairs associated with a given entity.
-
B.
minimumSeatsPerCanton
Indicates the minimum number of seats that must be allocated to each canton in a representative body or distribution scheme.
-
C.
minimumAgeOfLegislator
Indicates the minimum age requirement that an individual must meet to serve as a legislator.
-
D.
chairpersonEligibility
Indicates whether an entity meets the required conditions to serve as a chairperson in a given context or organization.
-
E.
womenRepresentationMechanism
chosen
Indicates the mechanism or process through which women’s representation or participation is ensured, structured, or facilitated in a given context.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a2301c8190aa59280a16750156 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.