Triple
T4071720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jatiya Sangsad |
E86662
|
entity |
| Predicate | reservedSeatsFor |
P4923
|
FINISHED |
| Object | women |
—
|
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: women | Statement: [Jatiya Sangsad, reservedSeatsFor, women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservedSeatsFor Context triple: [Jatiya Sangsad, reservedSeatsFor, women]
-
A.
hasReservedSeats
Indicates that specific seats have been set aside or allocated in advance for a particular entity or purpose.
-
B.
hasSeatStatus
Indicates the current condition or availability state of a seat in a given context.
-
C.
seatAgreementWith
Indicates an arrangement or understanding by which one party provides or allocates seating to another under agreed terms.
-
D.
reservedFor
chosen
Indicates that something is set aside or allocated specifically for the use, benefit, or purpose of a particular entity or group.
-
E.
seatNumber
Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc20ed788190bd935082a348a05d |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.