Triple

T4802170
Position Surface form Disambiguated ID Type / Status
Subject Australian Federal Police E106859 entity
Predicate abbreviation P43 FINISHED
Object AFP
AFP is the national law enforcement agency of Australia responsible for federal policing, counter-terrorism, and protecting Commonwealth interests domestically and overseas.
E468639 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: AFP | Statement: [Australian Federal Police, abbreviation, AFP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFP
Context triple: [Australian Federal Police, abbreviation, AFP]
  • A. AFP
    AFP is the unified military organization responsible for the defense and security of the Republic of the Philippines.
  • B. AFP
    AFP is a major international news agency based in Paris that provides global news coverage in multiple languages.
  • C. AFP
    AFP (Apple Filing Protocol) is a network protocol developed by Apple for file services and sharing primarily on macOS and classic Mac OS systems.
  • D. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • E. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • 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: AFP
Triple: [Australian Federal Police, abbreviation, AFP]
Generated description
AFP is the national law enforcement agency of Australia responsible for federal policing, counter-terrorism, and protecting Commonwealth interests domestically and overseas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AFP
Target entity description: AFP is the national law enforcement agency of Australia responsible for federal policing, counter-terrorism, and protecting Commonwealth interests domestically and overseas.
  • A. AFP
    AFP (Apple Filing Protocol) is a network protocol developed by Apple for file services and sharing primarily on macOS and classic Mac OS systems.
  • B. AFP
    AFP is the unified military organization responsible for the defense and security of the Republic of the Philippines.
  • C. AFP
    AFP is a major international news agency based in Paris that provides global news coverage in multiple languages.
  • D. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • E. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c42113081908824f3608e65cbff completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4400103c8190a5417fe75fb50f81 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be44a60c2c8190b47efae80379b21e completed March 21, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69be4530fe5c8190aa976151cdd5bc7a completed March 21, 2026, 7:13 a.m.
Created at: March 20, 2026, 1:23 p.m.