Triple

T5584958
Position Surface form Disambiguated ID Type / Status
Subject Bell Baxter High School E146732 entity
Predicate servesArea P82 FINISHED
Object Cupar E21353 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: Cupar | Statement: [Bell Baxter High School, servesArea, Cupar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cupar
Context triple: [Bell Baxter High School, servesArea, Cupar]
  • A. Cupar chosen
    Cupar is a historic market town in eastern Scotland that once served as the county town of Fife.
  • B. Dunfermline
    Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
  • C. Arbirlot
    Arbirlot is a small rural village in the Angus council area of eastern Scotland, known for its historic parish church and scenic countryside setting near the North Sea coast.
  • D. Tyndrum
    Tyndrum is a small village in the Scottish Highlands that serves as a key road and rail junction for travelers heading to western and northern Scotland.
  • E. Balerno
    Balerno is a suburban village on the outskirts of Edinburgh, Scotland, known for its scenic setting near the Pentland Hills and its residential character.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02085d0e48190b8d185fe7f3d8579 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8eed9b120819094d588637edc6190 completed March 29, 2026, 9:20 a.m.
Created at: March 22, 2026, 3:37 p.m.