Triple

T23008220
Position Surface form Disambiguated ID Type / Status
Subject Rough Firth E572835 entity
Predicate locatedNear P294 FINISHED
Object Arbigland 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: Arbigland | Statement: [Rough Firth, locatedNear, Arbigland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbigland
Context triple: [Rough Firth, locatedNear, Arbigland]
  • A. Arbigland chosen
    Arbigland is a historic estate and coastal area in Dumfries and Galloway, Scotland, known for its scenic gardens, Georgian architecture, and maritime heritage.
  • B. Belonia
    Belonia is a small town in the South Tripura district of the Indian state of Tripura, near the India–Bangladesh border.
  • C. Anderrijk
    Anderrijk is a themed area within the Efteling amusement park featuring attractions inspired by myths, legends, and mysterious worlds.
  • D. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • E. Ottoland
    Ottoland is a small rural village in the South Holland province of the Netherlands, known for its agricultural landscape and traditional Dutch polder setting.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835802a881908fe817c3fa728a82 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.