Triple

T23045470
Position Surface form Disambiguated ID Type / Status
Subject York Outer (UK Parliament constituency) E573864 entity
Predicate contains P35 FINISHED
Object Haxby 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: Haxby | Statement: [York Outer (UK Parliament constituency), contains, Haxby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haxby
Context triple: [York Outer (UK Parliament constituency), contains, Haxby]
  • A. Haxby chosen
    Haxby is a town in North Yorkshire, England, situated just north of York.
  • B. Thagard
    Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
  • C. Kalanit Grill-Spector
    Kalanit Grill-Spector is a cognitive neuroscientist known for her research on the neural mechanisms of visual perception and object recognition, particularly using functional MRI.
  • D. Gazzaniga
    Gazzaniga is a municipality in the Lombardy region of northern Italy, located in the province of Bergamo.
  • E. Brodmann area 42
    Brodmann area 42 is a region of the human cerebral cortex involved in processing auditory information and contributing to the perception of sound.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1851811e08190a5af6a112687327e completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.