Triple

T21290785
Position Surface form Disambiguated ID Type / Status
Subject A299 road E524781 entity
Predicate passesNear P416 FINISHED
Object Monkton 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: Monkton | Statement: [A299 road, passesNear, Monkton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monkton
Context triple: [A299 road, passesNear, Monkton]
  • A. Monkton chosen
    Monkton is a small village in South Ayrshire, Scotland, situated near Prestwick and close to the west coast.
  • B. Nun Monkton
    Nun Monkton is a small historic village in North Yorkshire, England, known for its picturesque green, traditional architecture, and riverside setting.
  • C. 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.
  • D. Tarrant Monkton
    Tarrant Monkton is a small rural village in Dorset, England, known for its traditional countryside setting and historic parish church.
  • E. Simington
    Simington is a surname variant of Symington, typically of Scottish origin and associated with families from places bearing that name.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d9467881908ec5b1dec76e6f5d completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:04 p.m.