Triple
T38019573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaya Lok Sabha constituency |
E948590
|
entity |
| Predicate | previousReservationStatus |
P201535
|
FINISHED |
| Object | None |
—
|
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: None | Statement: [Gaya Lok Sabha constituency, previousReservationStatus, None]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousReservationStatus Context triple: [Gaya Lok Sabha constituency, previousReservationStatus, None]
-
A.
reservationStatus
Indicates the current state or condition of a reservation within its lifecycle (e.g., pending, confirmed, canceled, completed).
-
B.
hasReservationStatus
Indicates that an entity is associated with a specific reservation and the current status or state of that reservation (e.g., pending, confirmed, canceled).
-
C.
hasReservationStatusSince
Indicates that an entity has held a particular reservation status continuously since a specified point in time.
-
D.
primaryReservationState
Indicates the main or current status assigned to a reservation within its lifecycle.
-
E.
modernReservationState
Indicates that an entity is currently in a contemporary or up-to-date state of reservation (e.g., booked, held, or scheduled) according to the modern reservation system.
- F. None of above. chosen
Provenance (4 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a000014497c819088d5cda3977522dd |
completed | May 10, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69ffff9a52b08190be1024e0fb6fe661 |
completed | May 10, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_6a000013004c8190a01710441f881fdc |
completed | May 10, 2026, 3:48 a.m. |
Created at: May 3, 2026, 4:20 p.m.