Triple

T11208881
Position Surface form Disambiguated ID Type / Status
Subject No. 2 Air Navigation School RAF E265249 entity
Predicate hasAbbreviation P43 FINISHED
Object 2 ANS
2 ANS was a Royal Air Force training unit focused on air navigation instruction for aircrew.
E911913 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: 2 ANS | Statement: [No. 2 Air Navigation School RAF, hasAbbreviation, 2 ANS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 2 ANS
Context triple: [No. 2 Air Navigation School RAF, hasAbbreviation, 2 ANS]
  • A. Ans
    Ans is a municipality in the Walloon region of Belgium, located just northwest of the city of Liège and forming part of its suburban area.
  • B. ANS
    ANS is a professional organization in the United States dedicated to advancing nuclear science and technology through research, standards, and education.
  • C. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • D. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • E. AN
    AN is the abbreviation commonly used for the National Alliance, a political organization.
  • 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: 2 ANS
Triple: [No. 2 Air Navigation School RAF, hasAbbreviation, 2 ANS]
Generated description
2 ANS was a Royal Air Force training unit focused on air navigation instruction for aircrew.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 2 ANS
Target entity description: 2 ANS was a Royal Air Force training unit focused on air navigation instruction for aircrew.
  • A. Ans
    Ans is a municipality in the Walloon region of Belgium, located just northwest of the city of Liège and forming part of its suburban area.
  • B. ANS
    ANS is a professional organization in the United States dedicated to advancing nuclear science and technology through research, standards, and education.
  • C. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • D. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • E. AN
    AN is the abbreviation commonly used for the National Alliance, a political organization.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d5f8908190903817f84c629ba1 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49747ec288190bc3e826b6de7f6f2 completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49c0a92b08190ac5debb7d67ca776 completed April 19, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69e49e8dc4ec81908d0defe77827d197 completed April 19, 2026, 9:21 a.m.
Created at: April 8, 2026, 9:30 p.m.