Triple
T1486571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnataka |
E29477
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Mysuru |
E80753
|
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: Mysuru | Statement: [Karnataka, hasCity, Mysuru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mysuru Context triple: [Karnataka, hasCity, Mysuru]
-
A.
Mysuru
chosen
Mysuru is a historic city in the southern Indian state of Karnataka, renowned for its royal heritage, palaces, and cultural festivals such as Dasara.
-
B.
Mangalore
Mangalore is a major port city on the southwestern coast of India, known for its maritime trade, diverse culture, and role as a commercial hub of Karnataka.
-
C.
Bengaluru
Bengaluru is a major Indian metropolis known as the country’s leading technology and innovation hub, often called the “Silicon Valley of India.”
-
D.
Bellary
Bellary is a historic city in the Indian state of Karnataka, known for its rich mineral resources, especially iron ore, and its role as an important administrative and commercial center.
-
E.
Madurai
Madurai is a historic city in the southern Indian state of Tamil Nadu, renowned for its ancient Meenakshi Amman Temple and long-standing role as a major cultural and commercial center.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a3325881909bbc55efc04ad60f |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b5aa348190bf6d7a3177eacaff |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:12 p.m.