Triple
T1418190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal |
E31965
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Panihati
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
|
E165052
|
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: Panihati | Statement: [West Bengal, containsTown, Panihati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panihati Context triple: [West Bengal, containsTown, Panihati]
-
A.
Pranhita
Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
-
B.
Kripa
Kripa is a revered warrior and sage in the Mahabharata, known as one of the few survivors of the Kurukshetra war and respected as a wise teacher and counselor.
-
C.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
D.
Swayam
Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
-
E.
Nabaneeta
Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
- 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: Panihati Triple: [West Bengal, containsTown, Panihati]
Generated description
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panihati Target entity description: Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
-
A.
Pranhita
Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
-
B.
Kripa
Kripa is a revered warrior and sage in the Mahabharata, known as one of the few survivors of the Kurukshetra war and respected as a wise teacher and counselor.
-
C.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
D.
Swayam
Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
-
E.
Nabaneeta
Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c404e92c8190bd018673383f4534 |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08b09c948190a5ec17021299049e |
completed | March 8, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69ad098f9fd0819094d9478881ca1a46 |
completed | March 8, 2026, 5:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0a6c7aa08190b21b00c03f04af27 |
completed | March 8, 2026, 5:34 a.m. |
Created at: March 1, 2026, 7:59 p.m.