Triple

T21399993
Position Surface form Disambiguated ID Type / Status
Subject Arrochar E527885 entity
Predicate locatedNear P294 FINISHED
Object Rest and Be Thankful pass 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: Rest and Be Thankful pass | Statement: [Arrochar, locatedNear, Rest and Be Thankful pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rest and Be Thankful pass
Context triple: [Arrochar, locatedNear, Rest and Be Thankful pass]
  • A. Rest and Be Thankful pass chosen
    Rest and Be Thankful pass is a famous high mountain pass in Argyll and Bute, Scotland, known for its scenic views and historic military road.
  • B. Thank You Lord
    "Thank You Lord" is a Christian worship song featured as a track on the gospel album *Faith*.
  • C. The Thanks I Get
    "The Thanks I Get" is an indie pop song by Coconut Records, the solo music project of actor and musician Jason Schwartzman.
  • D. Saying Grace
    "Saying Grace" is a famous 1951 painting by American illustrator Norman Rockwell depicting a grandmother and young boy praying over a meal in a busy diner, celebrated for its warm, narrative portrayal of everyday American life.
  • E. No, Thank You
    "No, Thank You" is a song featured on the soundtrack of the musical or film production associated with Cass County.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b16d9f008190bbf6199ff6952cb3 completed April 22, 2026, 11:30 a.m.
Created at: April 16, 2026, 5:14 p.m.