Triple

T11110534
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Liège E262742 entity
Predicate contains P35 FINISHED
Object Ans E295668 NE FINISHED

How this triple was built (2 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: Ans | Statement: [Arrondissement of Liège, contains, Ans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ans
Context triple: [Arrondissement of Liège, contains, Ans]
  • A. Ans chosen
    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. The Answer
    The Answer is the famous nickname of NBA Hall of Famer Allen Iverson, celebrated for his electrifying scoring ability and cultural impact on basketball.
  • D. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • E. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.