Triple
T13591682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KRS |
E324705
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Mandya region |
E324695
|
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 region | Statement: [KRS, regionServed, Mandya region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandya region Context triple: [KRS, regionServed, Mandya region]
-
A.
Mandya district
chosen
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.
-
B.
Mandya city
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.
-
C.
Ramanagara district
Ramanagara district is a region in the Indian state of Karnataka known for its rocky hills, silk industry, and proximity to Bengaluru.
-
D.
Kuttanad region
The Kuttanad region is a low-lying, backwater and paddy-growing area of Kerala, India, famed for its below-sea-level farming and intricate network of canals and waterways.
-
E.
Ramanagara
Ramanagara is a town in the Indian state of Karnataka, known for its silk industry and rocky hills, and for being a major shooting location for the film "Sholay."
- 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_69fcf7ce06488190b18e48dfba240024 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 9:49 p.m.