Triple

T306788
Position Surface form Disambiguated ID Type / Status
Subject Regional Internet Registries E6320 entity
Predicate includes P1393 FINISHED
Object APNIC E37471 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: APNIC | Statement: [Regional Internet Registries, includes, APNIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APNIC
Context triple: [Regional Internet Registries, includes, APNIC]
  • A. APNIC chosen
    APNIC is the Regional Internet Registry responsible for allocating and managing IP address resources in the Asia-Pacific region.
  • B. ARIN
    ARIN (American Registry for Internet Numbers) is a Regional Internet Registry responsible for managing and distributing IP address space and related resources in North America and parts of the Caribbean.
  • C. AFRINIC
    AFRINIC is the Regional Internet Registry responsible for allocating and managing IP address resources across the African region.
  • D. RIPE NCC
    RIPE NCC is the Regional Internet Registry for Europe, the Middle East, and parts of Central Asia, responsible for allocating and registering IP address space and related Internet number resources.
  • E. LACNIC
    LACNIC is the Regional Internet Registry responsible for allocating and managing IP address resources and related services in Latin America and the Caribbean.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea313be88190b4441f3ea41a99e2 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3bc2353408190b7658595498895bb completed March 1, 2026, 4:10 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.