Triple

T26187349

Position	Surface form	Disambiguated ID	Type / Status
Subject	Asansol subdivision	`E654864`	entity
Predicate	containsAssemblyConstituency	`P73305`	FINISHED
Object	Asansol Dakshin Asansol Dakshin is a legislative assembly constituency in West Bengal, India, representing part of the urban-industrial region of Asansol.	`E167887`	NE FINISHED

How this triple was built (3 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: Asansol Dakshin | Statement: [Asansol subdivision, containsAssemblyConstituency, Asansol Dakshin]

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: Asansol Dakshin
Triple: [Asansol subdivision, containsAssemblyConstituency, Asansol Dakshin]

Generated description

Asansol Dakshin is a legislative assembly constituency in West Bengal, India, representing part of the urban-industrial region of Asansol.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: containsAssemblyConstituency
Context triple: [Asansol subdivision, containsAssemblyConstituency, Asansol Dakshin]

A. isOneOfAssemblyConstituenciesOf
Indicates that a given constituency is a member of, or belongs to, a specified set of assembly constituencies.
B. containsConstituency chosen
Indicates that one entity includes or encompasses another entity as part of its constituency or membership.
C. containsParliamentaryConstituency
Indicates that one administrative or geographic area includes within its boundaries a specific parliamentary constituency.
D. numberOfAssemblyConstituenciesInParliamentarySeat
Indicates the total count of assembly constituencies that fall within a given parliamentary seat.
E. constituency
Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
F. None of above.

Provenance (6 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_69ee5b469bc081908fe486453fdad810`	completed	April 26, 2026, 6:36 p.m.
NER	Named-entity recognition	`batch_69f75dc25fa08190b371faf36d9fb72c`	completed	May 3, 2026, 2:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a1247d247e88190a8961c9659e45413`	completed	May 24, 2026, 12:35 a.m.
NEDg	Description generation	`batch_6a124841f5388190bda464ecd74a700e`	completed	May 24, 2026, 12:37 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1248a2f59c8190af2c3a8c50a36af3`	completed	May 24, 2026, 12:38 a.m.
PD	Predicate disambiguation	`batch_69f758586534819083e91172f4bf5098`	completed	May 3, 2026, 2:14 p.m.

Created at: April 26, 2026, 8:43 p.m.