Triple

T6831188
Position Surface form Disambiguated ID Type / Status
Subject Turnberry E157140 entity
Predicate nearestTown P350 FINISHED
Object Maidens E573889 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: Maidens | Statement: [Turnberry, nearestTown, Maidens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maidens
Context triple: [Turnberry, nearestTown, Maidens]
  • A. Maidens chosen
    Maidens is a small coastal village in South Ayrshire, Scotland, known for its harbor, beach, and views across the Firth of Clyde.
  • B. the Maiden
    The Maiden was the epithet of Malcolm IV of Scotland, a 12th-century king noted for his youthful piety and reputed chastity.
  • C. Maidens of Paradise
    Maidens of Paradise are the pure, beautiful companions promised to the righteous in Islamic descriptions of the afterlife.
  • D. Lány
    Lány is a village and chateau area in the Czech Republic known as the site of the presidential summer residence and the place where the first Czechoslovak president Tomáš Garrigue Masaryk died.
  • E. The Sisters
    "The Sisters" is a Caroline-era stage comedy by English playwright James Shirley, known for its witty exploration of family, marriage, and social manners.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62820808190ad3c244893e88699 completed March 27, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723fab0a4819080d7cd9cb4dddd33 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:18 p.m.