Triple
T18538289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paschim Medinipur district |
E453021
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Chandrakona
Chandrakona is a small town in the Indian state of West Bengal known for its historical temples and traditional cultural heritage.
|
E1329502
|
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: Chandrakona | Statement: [Paschim Medinipur district, hasSettlement, Chandrakona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandrakona Context triple: [Paschim Medinipur district, hasSettlement, Chandrakona]
-
A.
Damouchari
Damouchari is a small coastal village in the Pelion region of Greece, known for its picturesque harbor, traditional stone houses, and use as a filming location for the movie "Mamma Mia!".
-
B.
Chanditala
Chanditala is a town in West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
-
C.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Ghojadanga
Ghojadanga is a border checkpoint locality in West Bengal, India, situated near the India–Bangladesh frontier in North 24 Parganas district.
-
E.
Chakdaha
Chakdaha is a town in the Nadia district of West Bengal, India, known as a local administrative and commercial center along the Hooghly River.
- 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: Chandrakona Triple: [Paschim Medinipur district, hasSettlement, Chandrakona]
Generated description
Chandrakona is a small town in the Indian state of West Bengal known for its historical temples and traditional cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chandrakona Target entity description: Chandrakona is a small town in the Indian state of West Bengal known for its historical temples and traditional cultural heritage.
-
A.
Damouchari
Damouchari is a small coastal village in the Pelion region of Greece, known for its picturesque harbor, traditional stone houses, and use as a filming location for the movie "Mamma Mia!".
-
B.
Chanditala
Chanditala is a town in West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
-
C.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Ghojadanga
Ghojadanga is a border checkpoint locality in West Bengal, India, situated near the India–Bangladesh frontier in North 24 Parganas district.
-
E.
Chakdaha
Chakdaha is a town in the Nadia district of West Bengal, India, known as a local administrative and commercial center along the Hooghly River.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534030bd88190b25b95305a12a0c1 |
completed | April 19, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04917f770c8190b25da102a3368828 |
completed | May 13, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a0493595bec8190b92e737effb91f54 |
completed | May 13, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04941c17988190b38bfce00fedbeca |
completed | May 13, 2026, 3:09 p.m. |
Created at: April 10, 2026, 11:37 a.m.