Triple

T4074265
Position Surface form Disambiguated ID Type / Status
Subject Peruvian National Police E86723 entity
Predicate abbreviation P43 FINISHED
Object PNP
The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
E411414 NE FINISHED

How this triple was built (4 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: PNP | Statement: [Peruvian National Police, abbreviation, PNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PNP
Context triple: [Peruvian National Police, abbreviation, PNP]
  • A. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • B. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • C. PNQ
    PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
  • D. PNX
    PNX is the IATA airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
  • E. NVP
    NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: PNP
Triple: [Peruvian National Police, abbreviation, PNP]
Generated description
The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PNP
Target entity description: The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
  • A. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • B. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • C. PNQ
    PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
  • D. PNX
    PNX is the IATA airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
  • E. NVP
    NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
  • F. None of above. chosen

Provenance (5 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc245d888190ae773f9c3077953b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b5cc108190bb9684abafa608af completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5646606f08190930451ac372154cd completed March 14, 2026, 1:36 p.m.
Created at: March 9, 2026, 3:39 p.m.