Triple

T5500924
Position Surface form Disambiguated ID Type / Status
Subject Scotstarvit Tower E144324 entity
Predicate locatedNear P294 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: [Scotstarvit Tower, locatedNear, Cupar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cupar
Context triple: [Scotstarvit Tower, locatedNear, 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f08c2a4819093e772a1497c7ecc completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be06206c81908e676d602234cd57 completed March 29, 2026, 5:52 a.m.
Created at: March 22, 2026, 3:32 p.m.