Triple
T38030247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dausa Lok Sabha constituency |
E948887
|
entity |
| Predicate | previouslyIncludedDistrict |
P110170
|
FINISHED |
| Object | Jaipur district |
—
|
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: Jaipur district | Statement: [Dausa Lok Sabha constituency, previouslyIncludedDistrict, Jaipur district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyIncludedDistrict Context triple: [Dausa Lok Sabha constituency, previouslyIncludedDistrict, Jaipur district]
-
A.
oneOfOriginalDistricts
Indicates that an entity belongs to, or is included among, the original set of districts defined for a given area or jurisdiction.
-
B.
formerDistrict
Indicates that one entity previously served as a district of another entity but no longer holds that status.
-
C.
electoralDistrictIncludes
Indicates that a given electoral district geographically contains or encompasses a specified area or location.
-
D.
includesDistrict
Indicates that one administrative or geographic entity contains or encompasses a specific district within its boundaries.
-
E.
formerlyInDistrict
chosen
Indicates that an entity was once located in or part of a particular district, but is no longer within that district.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
Created at: May 3, 2026, 4:20 p.m.