Triple
T1913209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tungabhadra River |
E38155
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Koppal
Koppal is a town in the Indian state of Karnataka known for its historical significance and proximity to major heritage sites like Hampi.
|
E220366
|
NE FINISHED |
How this triple was built (4 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: Koppal | Statement: [Tungabhadra River, passesNear, Koppal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koppal Context triple: [Tungabhadra River, passesNear, Koppal]
-
A.
Sangli
Sangli is a city in the Indian state of Maharashtra known for its fertile agricultural surroundings and prominence in sugar and turmeric production.
-
B.
Latur
Latur is a city in the Marathwada region of western India known for its agricultural economy and for being the epicenter of a devastating earthquake in 1993.
-
C.
Chandrapur
Chandrapur is a district in the eastern part of Maharashtra, India, known for its coal mining industry, forests, and wildlife, including the Tadoba-Andhari Tiger Reserve.
-
D.
Kolhapur
Kolhapur is a historic city in the Indian state of Maharashtra, known for its rich Maratha heritage, temples, and distinctive Kolhapuri cuisine and leather sandals.
-
E.
Gondia
Gondia is a district in the Indian state of Maharashtra, known for its rice production and proximity to forests and wildlife reserves.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Koppal Triple: [Tungabhadra River, passesNear, Koppal]
Generated description
Koppal is a town in the Indian state of Karnataka known for its historical significance and proximity to major heritage sites like Hampi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koppal Target entity description: Koppal is a town in the Indian state of Karnataka known for its historical significance and proximity to major heritage sites like Hampi.
-
A.
Sangli
Sangli is a city in the Indian state of Maharashtra known for its fertile agricultural surroundings and prominence in sugar and turmeric production.
-
B.
Latur
Latur is a city in the Marathwada region of western India known for its agricultural economy and for being the epicenter of a devastating earthquake in 1993.
-
C.
Chandrapur
Chandrapur is a district in the eastern part of Maharashtra, India, known for its coal mining industry, forests, and wildlife, including the Tadoba-Andhari Tiger Reserve.
-
D.
Kolhapur
Kolhapur is a historic city in the Indian state of Maharashtra, known for its rich Maratha heritage, temples, and distinctive Kolhapuri cuisine and leather sandals.
-
E.
Gondia
Gondia is a district in the Indian state of Maharashtra, known for its rice production and proximity to forests and wildlife reserves.
- F. None of above. chosen
Provenance (5 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1e26b948190aa194c30755ac5df |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbac4e18819081f6cfdf1cd7a03c |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adffaa380c8190a66f62b0a6338e5e |
completed | March 8, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae001f968881908f810b0663dc2a29 |
completed | March 8, 2026, 11:02 p.m. |
Created at: March 4, 2026, 7:35 p.m.