Triple
T37483302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengal Legislative Assembly |
E931463
|
entity |
| Predicate | hadReservedSeatsFor |
P9399
|
FINISHED |
| Object | Muslims |
—
|
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: Muslims | Statement: [Bengal Legislative Assembly, hadReservedSeatsFor, Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadReservedSeatsFor Context triple: [Bengal Legislative Assembly, hadReservedSeatsFor, Muslims]
-
A.
hasReservedSeats
chosen
Indicates that specific seats have been set aside or allocated in advance for a particular entity or purpose.
-
B.
hasReservationOf
Indicates that one entity holds or possesses a reservation for another entity (such as a service, resource, or event).
-
C.
hasSeatStatus
Indicates the current condition or availability state of a seat in a given context.
-
D.
seatOwnedBy
Indicates that a particular seat is possessed or held in ownership by a specific entity.
-
E.
hasReservationIn
Indicates that an entity holds or possesses a reservation at or within a specified place, service, or event.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.