Triple

T6656759
Position Surface form Disambiguated ID Type / Status
Subject Loch of Tankerness E150964 entity
Predicate locatedIn P40 FINISHED
Object Tankerness E512677 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: Tankerness | Statement: [Loch of Tankerness, locatedIn, Tankerness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tankerness
Context triple: [Loch of Tankerness, locatedIn, Tankerness]
  • A. Tankerness chosen
    Tankerness is a rural settlement on the Orkney Islands of Scotland, known for its agricultural landscape and archaeological sites.
  • B. Rusty Trawler
    Rusty Trawler is a wealthy, socially prominent yet somewhat ridiculous character in Truman Capote’s novella "Breakfast at Tiffany’s."
  • C. Watergang
    Watergang is a small village in the Dutch province of North Holland, known for its traditional polder landscape and characteristic waterways.
  • D. Follow the Fleet
    Follow the Fleet is a 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, known for its dance sequences, romantic comedy plot, and classic Irving Berlin songs.
  • E. The Seafarers
    The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06dbbf88190b39564a688c25a24 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef028ccc8190a56395075c9aabf7 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.