Triple

T1603117
Position Surface form Disambiguated ID Type / Status
Subject Afghan National Police E34439 entity
Predicate abbreviation P43 FINISHED
Object ANP
ANP is the national police force of Afghanistan responsible for law enforcement, public order, and internal security across the country.
 E181196 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: ANP | Statement: [Afghan National Police, abbreviation, ANP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ANP
Context triple: [Afghan National Police, abbreviation, ANP]
  • A. ANPP
    ANPP is the acronym for Cuba’s unicameral national legislature, the National Assembly of People’s Power.
  • B. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • C. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • D. ANFP
    ANFP is the National Professional Football Association that organizes and regulates professional football competitions in Chile.
  • E. NAP
    NAP is the publishing arm of the U.S. National Academies that produces and disseminates authoritative reports on science, engineering, and medicine.
  • 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: ANP
Triple: [Afghan National Police, abbreviation, ANP]
Generated description
ANP is the national police force of Afghanistan responsible for law enforcement, public order, and internal security across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ANP
Target entity description: ANP is the national police force of Afghanistan responsible for law enforcement, public order, and internal security across the country.
  • A. ANPP
    ANPP is the acronym for Cuba’s unicameral national legislature, the National Assembly of People’s Power.
  • B. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • C. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • D. ANFP
    ANFP is the National Professional Football Association that organizes and regulates professional football competitions in Chile.
  • E. NAP
    NAP is the publishing arm of the U.S. National Academies that produces and disseminates authoritative reports on science, engineering, and medicine.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62292d1c819080b597199dc6b8d5 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46ae8ef08190acf018f1db4bfa7c completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad4827c51c8190b07f4e07ba710c9d completed March 8, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad487f5ce08190a72efddc64bd496c completed March 8, 2026, 9:59 a.m.
Created at: March 4, 2026, 7:28 p.m.