Triple
T3983897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandannagar |
E86823
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Patal Bari
Patal Bari is a historic riverside house in Chandannagar, West Bengal, noted for its unique submerged lower floors and colonial-era architecture along the Hooghly River.
|
E406949
|
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: Patal Bari | Statement: [Chandannagar, hasLandmark, Patal Bari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patal Bari Context triple: [Chandannagar, hasLandmark, Patal Bari]
-
A.
Benipatti
Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
-
B.
Basopatti
Basopatti is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
D.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
E.
Bhittai
Bhittai is an honorific title associated with Shah Abdul Latif Bhittai, the revered 18th-century Sindhi Sufi poet and saint.
- 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: Patal Bari Triple: [Chandannagar, hasLandmark, Patal Bari]
Generated description
Patal Bari is a historic riverside house in Chandannagar, West Bengal, noted for its unique submerged lower floors and colonial-era architecture along the Hooghly River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patal Bari Target entity description: Patal Bari is a historic riverside house in Chandannagar, West Bengal, noted for its unique submerged lower floors and colonial-era architecture along the Hooghly River.
-
A.
Benipatti
Benipatti is a town in the Madhubani district of the Indian state of Bihar, known for its rural setting and proximity to the region’s famed Mithila culture.
-
B.
Basopatti
Basopatti is a town located in the Madhubani district of the Indian state of Bihar.
-
C.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
D.
Babatpur
Babatpur is a locality near Varanasi in the Indian state of Uttar Pradesh, known primarily for hosting the city’s main airport.
-
E.
Bhittai
Bhittai is an honorific title associated with Shah Abdul Latif Bhittai, the revered 18th-century Sindhi Sufi poet and saint.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9de58d48190969f354a1bf0df94 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c4a769c819097fb9bfd5890a4f9 |
completed | March 14, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69b54e582d1c8190b091449fab193ff2 |
completed | March 14, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54ec8640081908c312eaf2cc19e2b |
completed | March 14, 2026, 12:04 p.m. |
Created at: March 9, 2026, 3:33 p.m.