Triple
T1418181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal |
E31965
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Uluberia
Uluberia is an industrial and rapidly developing town in the Howrah district of West Bengal, India, known for its manufacturing hubs and connectivity to Kolkata.
|
E163220
|
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: Uluberia | Statement: [West Bengal, containsTown, Uluberia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uluberia Context triple: [West Bengal, containsTown, Uluberia]
-
A.
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
B.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
C.
Valla
Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
-
D.
Idumea
Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
-
E.
Embera
Embera is an Indigenous people of Colombia and Panama known for their distinct languages, traditional riverine communities, and rich artistic and spiritual practices.
- 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: Uluberia Triple: [West Bengal, containsTown, Uluberia]
Generated description
Uluberia is an industrial and rapidly developing town in the Howrah district of West Bengal, India, known for its manufacturing hubs and connectivity to Kolkata.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uluberia Target entity description: Uluberia is an industrial and rapidly developing town in the Howrah district of West Bengal, India, known for its manufacturing hubs and connectivity to Kolkata.
-
A.
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
B.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
C.
Valla
Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
-
D.
Idumea
Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
-
E.
Embera
Embera is an Indigenous people of Colombia and Panama known for their distinct languages, traditional riverine communities, and rich artistic and spiritual practices.
- 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_69ad015cdc8881908887aa0fb0838145 |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad01d1c01c81908917c4837ed2b393 |
completed | March 8, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0265f610819085a2dd293abd4812 |
completed | March 8, 2026, 5 a.m. |
Created at: March 1, 2026, 7:59 p.m.