Triple
T28361029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandigama (SC) |
E718361
|
entity |
| Predicate | hasReservationPurpose |
P199634
|
FINISHED |
| Object | political representation of Scheduled Castes |
—
|
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: political representation of Scheduled Castes | Statement: [Nandigama (SC), hasReservationPurpose, political representation of Scheduled Castes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReservationPurpose Context triple: [Nandigama (SC), hasReservationPurpose, political representation of Scheduled Castes]
-
A.
hasReservationOf
Indicates that one entity holds or possesses a reservation for another entity (such as a service, resource, or event).
-
B.
hasReservationIn
Indicates that an entity holds or possesses a reservation at or within a specified place, service, or event.
-
C.
hasReservationFor
Indicates that an entity holds or is associated with a reservation for a specific event, service, or resource.
-
D.
haveReservation
Indicates that an entity holds or has made a reservation for a service, event, or resource.
-
E.
hasReservationType
Indicates that an entity is associated with a specific category or type of reservation.
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
| PDg | Predicate description generation | batch_69ff49f7db2c819094d488d13985334c |
completed | May 9, 2026, 2:51 p.m. |
Created at: April 28, 2026, 12:52 a.m.