Triple
T30901638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amalapuram Lok Sabha constituency |
E787184
|
entity |
| Predicate | currentDistrictContext |
P60901
|
FINISHED |
| Object | Konaseema 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: Konaseema district | Statement: [Amalapuram Lok Sabha constituency, currentDistrictContext, Konaseema district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentDistrictContext Context triple: [Amalapuram Lok Sabha constituency, currentDistrictContext, Konaseema district]
-
A.
districtContext
Indicates that something occurs within, is associated with, or is interpreted in the context of a particular district or administrative area.
-
B.
hasCurrentDistrict
chosen
Indicates that an entity is currently located in, represented by, or associated with a specific administrative or electoral district.
-
C.
sourceDistrict
Indicates the district from which something originates, is sent, or is sourced.
-
D.
homeDistrictOf
Indicates that a particular district is the primary or official home district associated with a given person or organization.
-
E.
governmentalDistrictOf
Indicates that a governmental district is the administrative district to which a given entity belongs or in which it is located.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: April 29, 2026, 8:50 p.m.