Triple
T24991309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morena Lok Sabha constituency |
E625454
|
entity |
| Predicate | stateConstituenciesIncluded |
P159712
|
FINISHED |
| Object | Morena |
—
|
NE NERFINISHED |
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: Morena | Statement: [Morena Lok Sabha constituency, stateConstituenciesIncluded, Morena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateConstituenciesIncluded Context triple: [Morena Lok Sabha constituency, stateConstituenciesIncluded, Morena]
-
A.
hasNumberOfConstituencies
Indicates the specific count of constituencies associated with an entity.
-
B.
stateDelegationsIncluded
Indicates that specific state-level delegations are included within a larger group, arrangement, or representation.
-
C.
stateCapitalConstituency
Indicates that a given constituency serves as the capital constituency of a particular state.
-
D.
stateUpperHouseDistrictsInclude
Indicates that one or more state upper house legislative districts geographically contain or encompass the referenced area or entity.
-
E.
representedConstituenciesIn
Indicates that an individual or entity served as an official representative for one or more specified constituencies.
- 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_69e2ff2611c081908710457fbe6d376b |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 18, 2026, 6:03 a.m.