Triple

T26352764
Position Surface form Disambiguated ID Type / Status
Subject Dakshin Dinajpur district E662944 entity
Predicate hasLokSabhaConstituency P2710 FINISHED
Object Raiganj
Raiganj is a town and parliamentary constituency in the Indian state of West Bengal, known for its administrative importance and proximity to the Raiganj Wildlife Sanctuary.
E208174 NE FINISHED

How this triple was built (2 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: Raiganj | Statement: [Dakshin Dinajpur district, hasLokSabhaConstituency, Raiganj]
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: Raiganj
Triple: [Dakshin Dinajpur district, hasLokSabhaConstituency, Raiganj]
Generated description
Raiganj is a town and parliamentary constituency in the Indian state of West Bengal, known for its administrative importance and proximity to the Raiganj Wildlife Sanctuary.

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_69ee8130fc44819094e5ab1da201cd7b completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60fece7d881909ef602630bd8da89 completed May 2, 2026, 2:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be44c38c8190b510d0331f06004e completed June 9, 2026, 7:18 a.m.
NEDg Description generation batch_6a27c221382481908b81030264368193 completed June 9, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a27c27bf3ac8190831cf91c3eabd0c6 completed June 9, 2026, 7:36 a.m.
Created at: April 26, 2026, 10:46 p.m.