Triple

T14894646
Position Surface form Disambiguated ID Type / Status
Subject Newnham, Hampshire E359839 entity
Predicate hasTraditionalCountrysideSetting P85002 FINISHED
Object true LITERAL 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: true | Statement: [Newnham, Hampshire, hasTraditionalCountrysideSetting, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalCountrysideSetting
Context triple: [Newnham, Hampshire, hasTraditionalCountrysideSetting, true]
  • A. hasRuralLandscapeType chosen
    Indicates that an entity is associated with or characterized by a specific type of rural landscape.
  • B. hasRuralLifestyle
    Indicates that an entity lives in or regularly engages in a way of life characteristic of rural areas, such as farming, low population density, and countryside-oriented activities.
  • C. hasTraditionalSettlementType
    Indicates that an entity is associated with a specific traditional or historically established type of human settlement (e.g., village, town, hamlet).
  • D. hasRuralHinterland
    Indicates that a place or urban area is associated with and served by a surrounding rural region that supports it economically, socially, or functionally.
  • E. hasRuralArea
    Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
  • F. None of above.

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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f9d10c819091732d7a5a42a682 completed April 15, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69de9a4a14a88190951bb8f4c60bd37b completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:10 a.m.