Triple
T15381295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malavalli |
E367806
|
entity |
| Predicate | locatedNear |
P294
|
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: [Malavalli, locatedNear, Mandya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandya Context triple: [Malavalli, locatedNear, 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.
Walajapet
Walajapet is a historic town in the Indian state of Tamil Nadu, known as an early center of trade and administration in the region.
-
C.
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.
-
D.
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."
-
E.
Kundapura
Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6b67c08190b0df6b9fd65ff28b |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:19 a.m.