Triple

T18746912
Position Surface form Disambiguated ID Type / Status
Subject .ye E458428 entity
Predicate registry P86 FINISHED
Object TeleYemen E1341271 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: TeleYemen | Statement: [.ye, registry, TeleYemen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TeleYemen
Context triple: [.ye, registry, TeleYemen]
  • A. TeleYemen chosen
    TeleYemen is Yemen’s primary telecommunications company, providing international and domestic voice and data services across the country.
  • B. Tele-Buqa
    Tele-Buqa was a late 13th-century khan of the Golden Horde whose brief and turbulent reign was closely tied to the powerful Mongol emir Nogai Khan.
  • C. Yemeni corner
    The Yemeni corner is the southwestern corner of the Kaaba in Mecca, revered in Islamic tradition as a spot where many pilgrims touch or gesture toward it while performing the circumambulation (tawaf).
  • D. Tel
    Tel is the standard three-letter astronomical abbreviation for the southern constellation Telescopium.
  • E. Telem
    Telem is a small Israeli settlement whose name is derived from the biblical term “Telem.”
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e576936cf08190b3c0d2f4e8a616fc completed April 20, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05470cbad081908db660e4f265d15e completed May 14, 2026, 3:52 a.m.
Created at: April 10, 2026, 11:51 a.m.