Triple

T26224036

Position	Surface form	Disambiguated ID	Type / Status
Subject	Bahuda Yatra	`E655839`	entity
Predicate	hasSecurityArrangementBy	`P8728`	FINISHED
Object	Odisha Police Odisha Police is the state law enforcement agency responsible for maintaining public order, preventing and investigating crime, and ensuring security across the Indian state of Odisha.	`E1715744`	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: Odisha Police | Statement: [Bahuda Yatra, hasSecurityArrangementBy, Odisha Police]

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: Odisha Police
Triple: [Bahuda Yatra, hasSecurityArrangementBy, Odisha Police]

Generated description

Odisha Police is the state law enforcement agency responsible for maintaining public order, preventing and investigating crime, and ensuring security across the Indian state of Odisha.

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

Target predicate: hasSecurityArrangementBy
Context triple: [Bahuda Yatra, hasSecurityArrangementBy, Odisha Police]

A. securityArrangementsBy chosen
Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
B. hasSecurityPresence
Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
C. hasSecurityRegime
Indicates that an entity is governed, protected, or controlled by a particular security regime, framework, or set of security rules.
D. hasSecurityAuthority
Indicates that one entity possesses the right or power to enforce, manage, or make decisions about security over another entity or resource.
E. hasSecurityRelationship
Indicates a relationship in which one entity provides, manages, or is otherwise linked to the security or protection 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_69ee5b4a77e08190bfcb5f8ecdc55abd`	completed	April 26, 2026, 6:36 p.m.
NER	Named-entity recognition	`batch_69f74c70fd248190a9d5543afcb08211`	completed	May 3, 2026, 1:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a118594aac08190af23b70cbec0aff6`	completed	May 23, 2026, 10:46 a.m.
NEDg	Description generation	`batch_6a11861f5bd08190873109d86ffaca0a`	completed	May 23, 2026, 10:49 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1186f95c8c8190ab60afefe537a971`	completed	May 23, 2026, 10:52 a.m.
PD	Predicate disambiguation	`batch_69f7478e3b548190a51d5d436e2bb036`	completed	May 3, 2026, 1:03 p.m.

Created at: April 26, 2026, 8:57 p.m.