Triple

T25331770

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mahishya	`E635168`	entity
Predicate	hasRegionOfConcentration	`P70368`	FINISHED
Object	southern West Bengal Southern West Bengal is a region of the Indian state of West Bengal known for its dense rural settlements, agrarian economy, and significant concentration of the Mahishya community.	`E1682091`	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: southern West Bengal | Statement: [Mahishya, hasRegionOfConcentration, southern West Bengal]

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: southern West Bengal
Triple: [Mahishya, hasRegionOfConcentration, southern West Bengal]

Generated description

Southern West Bengal is a region of the Indian state of West Bengal known for its dense rural settlements, agrarian economy, and significant concentration of the Mahishya community.

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

Target predicate: hasRegionOfConcentration
Context triple: [Mahishya, hasRegionOfConcentration, southern West Bengal]

A. hasConcentration
Indicates that one entity possesses or exhibits a specific level, strength, or density of another substance, property, or attribute.
B. hasCoordinateConcentration
Indicates that an entity has a specific concentration value associated with a particular spatial or coordinate location.
C. hasPopulationConcentrationIn chosen
Indicates that a population is densely or significantly clustered within a specified geographic area or region.
D. hasCentralRegion
Indicates that an entity possesses or is associated with a primary or central area within its overall structure or domain.
E. hasRegionCenter
Indicates that a region is associated with a specific central point or location that serves as its geometric or administrative center.
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_69e75a9908108190a95427a97020632a`	completed	April 21, 2026, 11:08 a.m.
NER	Named-entity recognition	`batch_69f7626667f48190ad90867eb67ec582`	completed	May 3, 2026, 2:57 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10ad4bee908190ae8ade61dee1e242`	completed	May 22, 2026, 7:23 p.m.
NEDg	Description generation	`batch_6a10ae56b8a48190a448e1a4bd938a2b`	completed	May 22, 2026, 7:28 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10af2b626081908a1a67773654a991`	completed	May 22, 2026, 7:31 p.m.
PD	Predicate disambiguation	`batch_69f76175d6608190b60b268e20f49ed9`	completed	May 3, 2026, 2:53 p.m.

Created at: April 21, 2026, 1:30 p.m.