Triple
T13591227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandya district |
E324695
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Mandya |
E1050942
|
NE 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: Mandya | Statement: [Mandya district, hasCity, Mandya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandya Context triple: [Mandya district, hasCity, Mandya]
-
A.
Mandya city
chosen
Mandya city is an urban center in the Indian state of Karnataka, known for its sugarcane cultivation and role as the administrative and commercial hub of Mandya district.
-
B.
Mandya district
Mandya district is an administrative district in the southern Indian state of Karnataka, known for its fertile agricultural lands and historic towns such as Srirangapatna and Mandya.
-
C.
Kundapura
Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
-
D.
Chikkodi
Chikkodi is a prominent town in Karnataka, India, known for its agricultural economy—especially sugarcane cultivation—and its role as a local commercial and educational hub.
-
E.
Battakundi
Battakundi is a small scenic village and tourist stopover located in Pakistan’s mountainous Kaghan Valley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942a29b88190acefc8b3b91d849f |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:49 p.m.