Triple

T11624478
Position Surface form Disambiguated ID Type / Status
Subject Central Ayrshire E276226 entity
Predicate includesArea P1393 FINISHED
Object Monkton E783666 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: Monkton | Statement: [Central Ayrshire, includesArea, Monkton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monkton
Context triple: [Central Ayrshire, includesArea, Monkton]
  • A. Monkton chosen
    Monkton is a small village in South Ayrshire, Scotland, situated near Prestwick and close to the west coast.
  • B. Nunton
    Nunton is a small crofting settlement on the island of Benbecula in Scotland’s Outer Hebrides, known for its traditional landscape and historic township character.
  • C. Tarrant Monkton
    Tarrant Monkton is a small rural village in Dorset, England, known for its traditional countryside setting and historic parish church.
  • D. Simington
    Simington is a surname variant of Symington, typically of Scottish origin and associated with families from places bearing that name.
  • E. Mottingham
    Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87745b388190a78958fa0c08b89b completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.