Triple
T7016338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hooghly district |
E162707
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Chanditala
Chanditala is a town in West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
|
E640825
|
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: Chanditala | Statement: [Hooghly district, containsTown, Chanditala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chanditala Context triple: [Hooghly district, containsTown, Chanditala]
-
A.
Dharangaon
Dharangaon is a town in the Jalgaon district of Maharashtra, India, known for its agricultural surroundings and role as a local commercial center.
-
B.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
C.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
D.
Chalisgaon
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
-
E.
Illambazar
Illambazar is a town and administrative unit in the Birbhum district of West Bengal, India, known historically as a trading center and for its cultural and rural surroundings.
- 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: Chanditala Triple: [Hooghly district, containsTown, Chanditala]
Generated description
Chanditala is a town in West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chanditala Target entity description: Chanditala is a town in West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
-
A.
Dharangaon
Dharangaon is a town in the Jalgaon district of Maharashtra, India, known for its agricultural surroundings and role as a local commercial center.
-
B.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
C.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
-
D.
Chalisgaon
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
-
E.
Illambazar
Illambazar is a town and administrative unit in the Birbhum district of West Bengal, India, known historically as a trading center and for its cultural and rural surroundings.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1d43e948190843f1cef3ce2004e |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79436bb708190a67038a717dfa842 |
completed | March 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69c7967dd32081908ad7cca8bd4ec7e4 |
completed | March 28, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c797666b688190918d9b158de09af8 |
completed | March 28, 2026, 8:55 a.m. |
Created at: March 27, 2026, 2:34 p.m.