Triple

T31743307
Position Surface form Disambiguated ID Type / Status
Subject Naxalbari E810195 entity
Predicate policeStationJurisdiction P59704 FINISHED
Object Naxalbari police station
Naxalbari police station is a local law enforcement facility serving the Naxalbari area in West Bengal, India.
 E1976712 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: Naxalbari police station | Statement: [Naxalbari, policeStationJurisdiction, Naxalbari police station]
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: Naxalbari police station
Triple: [Naxalbari, policeStationJurisdiction, Naxalbari police station]
Generated description
Naxalbari police station is a local law enforcement facility serving the Naxalbari area in West Bengal, India.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: policeStationJurisdiction
Context triple: [Naxalbari, policeStationJurisdiction, Naxalbari police station]
  • A. policePrecinct
    Indicates that a specified location, building, or area functions as or is designated as a police precinct.
  • B. hasPoliceDistrict chosen
    Indicates that an entity falls under the jurisdiction or coverage area of a specific police district.
  • C. currentLocationJurisdiction
    Indicates the legal or administrative jurisdiction that currently governs the location associated with the subject.
  • D. countyJurisdiction
    Indicates that one entity (typically a government body or authority) has legal or administrative jurisdiction over a specific county.
  • E. managementJurisdiction
    Indicates that one entity has formal authority or responsibility to manage, oversee, or administer another entity or domain within a defined scope or area.
  • 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_69f348e233cc819083b6695f70cd75d8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b947f77208190b41b00a2008fd77d completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2bab8dc7e481908520e4e68f1a3363 completed June 12, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a2bac49156c81909c26be225fa8d927 completed June 12, 2026, 6:50 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 30, 2026, 11:25 p.m.