Triple

T16162906
Position Surface form Disambiguated ID Type / Status
Subject Beinn Ghlas E392221 entity
Predicate parentPeak P1319 FINISHED
Object Ben Lawers E392220 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: Ben Lawers | Statement: [Beinn Ghlas, parentPeak, Ben Lawers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Lawers
Context triple: [Beinn Ghlas, parentPeak, Ben Lawers]
  • A. Ben Lawers chosen
    Ben Lawers is one of the highest and most prominent mountains in the Scottish Highlands, renowned for its rich alpine flora and sweeping views over Loch Tay.
  • B. Sam Lawson
    Sam Lawson is a fictional New England storyteller created by Harriet Beecher Stowe, known for his humorous, dialect-rich tales in "Oldtown Fireside Stories."
  • C. Brian Laws
    Brian Laws is an English former footballer and manager best known for his successful and lengthy spell in charge of Scunthorpe United.
  • D. Marc Lawrence
    Marc Lawrence is an American screenwriter and film director best known for writing and directing romantic comedies such as "Two Weeks Notice," "Music and Lyrics," and "Miss Congeniality."
  • E. Marc Lawrence
    Marc Lawrence was an American character actor best known for his frequent portrayals of gangsters and tough guys in classic Hollywood films.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e616770819093f16c88722b2a7d completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef96a088190a1c1728288a9c4ef completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.