Triple

T9933565
Position Surface form Disambiguated ID Type / Status
Subject Address Supporting Organization Address Council E192701 entity
Predicate hasAbbreviation P43 FINISHED
Object ASO AC E37216 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: ASO AC | Statement: [Address Supporting Organization Address Council, hasAbbreviation, ASO AC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASO AC
Context triple: [Address Supporting Organization Address Council, hasAbbreviation, ASO AC]
  • A. ASO
    ASO is a major French sports event management company best known for organizing the Tour de France and other prominent international competitions.
  • B. ASO chosen
    ASO is one of ICANN’s supporting organizations responsible for overseeing global IP address policy development and coordination.
  • C. ASSE
    ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
  • D. ASOSAI
    ASOSAI is the Asian regional organization of government audit institutions that promotes cooperation, capacity building, and best practices in public sector auditing across its member countries.
  • E. AOS
    AOS is the abbreviation for McGill University's Department of Atmospheric and Oceanic Sciences, which focuses on research and education in weather, climate, and ocean systems.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b89c808190a2e766025dd53bd5 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d38c6748190a1c28c97f2a84f37 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:44 p.m.