Triple

T30366643

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mon district	`E772436`	entity
Predicate	policeRange	`P157540`	FINISHED
Object	Mon Range Mon Range is a police administrative division responsible for law enforcement and public order in and around Mon district in Nagaland, India.	`E1909853`	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: Mon Range | Statement: [Mon district, policeRange, Mon Range]

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: Mon Range
Triple: [Mon district, policeRange, Mon Range]

Generated description

Mon Range is a police administrative division responsible for law enforcement and public order in and around Mon district in Nagaland, India.

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

Target predicate: policeRange
Context triple: [Mon district, policeRange, Mon Range]

A. policeControl
Indicates that one entity exercises authoritative oversight, regulation, or enforcement power over another, as a police force does over people or areas under its jurisdiction.
B. policePresence
Indicates that law enforcement officers are present at or monitoring a particular location, event, or situation.
C. areaTypePoliced chosen
Indicates that a particular type of geographic or administrative area falls under the policing responsibility or jurisdiction of a specified policing entity.
D. policeUnit
Indicates that one entity is a police unit (such as a department, squad, or division) associated with or responsible for another entity.
E. policeSystem
Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
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_69f2248d71408190aec0d5c2001b1cff`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f6fb19063c81909466b329655c8583`	completed	May 3, 2026, 7:36 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a277c36ad188190adb6717a18dac921`	completed	June 9, 2026, 2:36 a.m.
NEDg	Description generation	`batch_6a277cac57c48190be88b50efa65ea9a`	completed	June 9, 2026, 2:38 a.m.
NED2	Entity disambiguation (via description)	`batch_6a277d1006608190bc00a3c36aeb0dbb`	completed	June 9, 2026, 2:40 a.m.
PD	Predicate disambiguation	`batch_69f6f969b4cc8190afb473a2d8b110bc`	completed	May 3, 2026, 7:29 a.m.

Created at: April 29, 2026, 7:58 p.m.