Triple

T15437507
Position Surface form Disambiguated ID Type / Status
Subject Aylmerton E369803 entity
Predicate hasCivilParishName P43491 FINISHED
Object Aylmerton E369803 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: Aylmerton | Statement: [Aylmerton, hasCivilParishName, Aylmerton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aylmerton
Context triple: [Aylmerton, hasCivilParishName, Aylmerton]
  • A. Aylmerton chosen
    Aylmerton is a small village in Norfolk, England, situated near the north coast and surrounded by rural countryside.
  • B. Aigremont
    Aigremont is a small French commune located in the Yvelines department in north-central France.
  • C. Alderton
    Alderton is a small rural village and civil parish located in the English county of Suffolk.
  • D. Westmere
    Westmere is a suburban hamlet and census-designated place within the town of Guilderland in Albany County, New York.
  • E. Westmere
    Westmere is Intel's 32 nm microarchitecture, a die-shrink of Nehalem that introduced several new features and performance improvements to the Core processor lineup.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a7d44481909a26b5cc331a3259 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.