Triple
T20168365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madanapalle |
E491886
|
entity |
| Predicate | municipalityGrade |
P80007
|
FINISHED |
| Object | selection grade municipality |
—
|
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: selection grade municipality | Statement: [Madanapalle, municipalityGrade, selection grade municipality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: municipalityGrade Context triple: [Madanapalle, municipalityGrade, selection grade municipality]
-
A.
municipality
Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
-
B.
hasMunicipalLevel
chosen
Indicates that an entity is associated with a specific level or tier within a municipal (local government) hierarchy.
-
C.
municipalScope
Indicates that something falls within the authority, jurisdiction, or functional domain of a municipality or local city government.
-
D.
municipalKey
Indicates a unique identifier that links an entity to a specific municipality within an administrative or geographic system.
-
E.
hasLocalGovernmentTier
Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66845cb588190820c50eea0c40d83 |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.