Triple

T22554712
Position Surface form Disambiguated ID Type / Status
Subject Malew E557650 entity
Predicate borders P224 FINISHED
Object Arbory NE NERFINISHED

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: Arbory | Statement: [Malew, borders, Arbory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbory
Context triple: [Malew, borders, Arbory]
  • A. Arbory chosen
    Arbory is a rural parish in the south of the Isle of Man, known for its agricultural landscape and traditional Manx village communities.
  • B. Arbore
    Arbore is a Cushitic language spoken by the Arbore people of southern Ethiopia.
  • C. Arborlon
    Arborlon is the elven capital city in Terry Brooks' Shannara fantasy series, renowned as a center of elven culture, magic, and governance.
  • D. Arbus
    Arbus is the surname of Diane Arbus, the influential American photographer renowned for her intimate portraits of marginalized and unconventional subjects.
  • E. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f780fb88190836408c6de3d3966 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.