Triple
T21412358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chikkaballapur district |
E528204
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Chintamani
Chintamani is a town in the Chikkaballapur district of Karnataka, India, known for its agricultural markets and regional trade.
|
E1483161
|
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: Chintamani | Statement: [Chikkaballapur district, hasTown, Chintamani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chintamani Context triple: [Chikkaballapur district, hasTown, Chintamani]
-
A.
Mandarmani
Mandarmani is a seaside resort village in West Bengal, India, known for its long, drivable beach and growing popularity as a quieter alternative to busier coastal destinations.
-
B.
Ratak
Ratak is a chain of low-lying coral atolls and islands in the Marshall Islands, located in the central Pacific Ocean and known for its remote, sparsely populated communities.
-
C.
Matareya
Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
-
D.
Matareya
Matareya is a prominent Thoroughbred racehorse known for her success as a top-level sprinter-miler in the United States.
-
E.
Kunjara
Kunjara is an alternative name for the Fur language spoken by the Fur people of western Sudan.
- 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: Chintamani Triple: [Chikkaballapur district, hasTown, Chintamani]
Generated description
Chintamani is a town in the Chikkaballapur district of Karnataka, India, known for its agricultural markets and regional trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chintamani Target entity description: Chintamani is a town in the Chikkaballapur district of Karnataka, India, known for its agricultural markets and regional trade.
-
A.
Mandarmani
Mandarmani is a seaside resort village in West Bengal, India, known for its long, drivable beach and growing popularity as a quieter alternative to busier coastal destinations.
-
B.
Ratak
Ratak is a chain of low-lying coral atolls and islands in the Marshall Islands, located in the central Pacific Ocean and known for its remote, sparsely populated communities.
-
C.
Matareya
Matareya is a district in northeastern Cairo, Egypt, known for its ancient Heliopolis archaeological remains and historic religious sites.
-
D.
Matareya
Matareya is a prominent Thoroughbred racehorse known for her success as a top-level sprinter-miler in the United States.
-
E.
Kunjara
Kunjara is an alternative name for the Fur language spoken by the Fur people of western Sudan.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d16bfc8190a1c08dd9d0c80e02 |
completed | April 26, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c29cc1b08190836cc0c0723564ae |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c34f94108190bc5a5814c40c3550 |
completed | May 17, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3d49b8c8190b5a138cb0530ca70 |
completed | May 17, 2026, 1:34 p.m. |
Created at: April 16, 2026, 5:44 p.m.