Triple

T6402428
Position Surface form Disambiguated ID Type / Status
Subject Firth and Harray area E144094 entity
Predicate hasSettlement P1068 FINISHED
Object Harray E512671 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: Harray | Statement: [Firth and Harray area, hasSettlement, Harray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harray
Context triple: [Firth and Harray area, hasSettlement, Harray]
  • A. Harray chosen
    Harray is a rural parish on Mainland Orkney in Scotland, characterized by open moorland, lochs, and traditional agricultural landscapes.
  • B. Harold Saxon
    Harold Saxon is an alias used by the Master, a recurring Time Lord villain in the Doctor Who television series, during his tenure as a manipulative British politician.
  • C. Hugh
    Hugh is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • E. Stuart
    Stuart is the royal dynasty that ruled Scotland and later England and Ireland, most famously associated with monarchs such as James I and Charles I.
  • 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_69c008dc56fc81908d43ffcc11d73bdd completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c068ade8c881908a0472f1de6b7c21 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638a6e6248190bda7ad3fbd8f4746 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.