Triple

T1881600
Position Surface form Disambiguated ID Type / Status
Subject AFRINIC E39863 entity
Predicate memberOf P10 FINISHED
Object Number Resource Organization E195202 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: Number Resource Organization | Statement: [AFRINIC, memberOf, Number Resource Organization]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Number Resource Organization
Context triple: [AFRINIC, memberOf, Number Resource Organization]
  • A. Number Resource Organization chosen
    The Number Resource Organization (NRO) is a coordinating body that represents and unites the world’s Regional Internet Registries in managing and developing global Internet number resources.
  • B. Numbers
    Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
  • C. Numbers
    Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
  • D. Numbers series
    Numbers series is a set of iconic numeral-themed artworks by American pop artist Robert Indiana, reflecting his bold graphic style and interest in language and symbolism.
  • E. Rank Organisation
    Rank Organisation was a major British film production, distribution, and exhibition company that played a central role in the UK cinema industry in the mid-20th century.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fb95b48190af5286662c8b9734 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5eabd8819089f267db92993033 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.