Triple
T7386233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglo-Mysore Wars |
E170386
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Mysore |
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: Mysore | Statement: [Anglo-Mysore Wars, location, Mysore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mysore Context triple: [Anglo-Mysore Wars, location, Mysore]
-
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.
Madikeri
Madikeri is a scenic hill town in Karnataka’s Coorg region, known for its cool climate, coffee plantations, and lush Western Ghats landscapes.
-
D.
Bidar
Bidar is a historic city in the Indian state of Karnataka, renowned for its medieval fort, rich Deccan Sultanate heritage, and distinctive Bidri metalwork.
-
E.
Shivamogga
Shivamogga is a city in the Malnad region of Karnataka, India, known for its scenic landscapes, proximity to waterfalls like Jog Falls, and role as a regional commercial and educational hub.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f117ec8190a97cbd0b35d5811a |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810e879e88190a421409194868587 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.