Triple
T32207875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehri Garhwal Lok Sabha constituency |
E822719
|
entity |
| Predicate | formerStateCode |
P197322
|
FINISHED |
| Object | UP |
—
|
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: UP | Statement: [Tehri Garhwal Lok Sabha constituency, formerStateCode, UP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerStateCode Context triple: [Tehri Garhwal Lok Sabha constituency, formerStateCode, UP]
-
A.
formerState
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
B.
previousStateName
Indicates the name of the state that immediately preceded the current state in a process or state transition.
-
C.
formerStateOrderOf
Indicates that one state previously held authority or jurisdiction over another state in an earlier political or administrative order.
-
D.
formerLocationState
chosen
Indicates that an entity was previously located in, based in, or associated with a particular state, but is no longer there.
-
E.
previousStateOfBirth
Indicates that one state or condition existed immediately before another state or condition came into being.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
Created at: May 1, 2026, 12:37 a.m.