Triple
T7016326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hooghly district |
E162707
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Champdani
Champdani is an industrial town in West Bengal, India, known for its jute mills and location along the Hooghly River near Kolkata.
|
E635172
|
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: Champdani | Statement: [Hooghly district, containsTown, Champdani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champdani Context triple: [Hooghly district, containsTown, Champdani]
-
A.
Shahi
Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
-
B.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
C.
Shakarparian
Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
-
D.
Marwaris
Marwaris are an Indian ethnic and business community originating from the Marwar region of Rajasthan, known historically for their entrepreneurial and trading prowess across India and abroad.
-
E.
Murasoli
Murasoli is the official Tamil-language newspaper and party organ of the Dravida Munnetra Kazhagam (DMK) in Tamil Nadu, India.
- 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: Champdani Triple: [Hooghly district, containsTown, Champdani]
Generated description
Champdani is an industrial town in West Bengal, India, known for its jute mills and location along the Hooghly River near Kolkata.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Champdani Target entity description: Champdani is an industrial town in West Bengal, India, known for its jute mills and location along the Hooghly River near Kolkata.
-
A.
Shahi
Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
-
B.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
C.
Shakarparian
Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
-
D.
Marwaris
Marwaris are an Indian ethnic and business community originating from the Marwar region of Rajasthan, known historically for their entrepreneurial and trading prowess across India and abroad.
-
E.
Murasoli
Murasoli is the official Tamil-language newspaper and party organ of the Dravida Munnetra Kazhagam (DMK) in Tamil Nadu, India.
- 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_69c76a5655d48190a2df556f63add35d |
completed | March 28, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69c76b9702d4819099f873b37fad309b |
completed | March 28, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76c10303c8190a08f1728da6ebcd2 |
completed | March 28, 2026, 5:50 a.m. |
Created at: March 27, 2026, 2:34 p.m.