Triple

T14821654
Position Surface form Disambiguated ID Type / Status
Subject Gulltown E348464 entity
Predicate hasCoastlineOn P212 FINISHED
Object the Narrow Sea E346038 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: the Narrow Sea | Statement: [Gulltown, hasCoastlineOn, the Narrow Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Narrow Sea
Context triple: [Gulltown, hasCoastlineOn, the Narrow Sea]
  • A. The Narrow Sea chosen
    The Narrow Sea is the body of water in the world of "A Song of Ice and Fire"/"Game of Thrones" that separates the continent of Westeros from Essos and serves as a crucial route for trade, travel, and invasion.
  • B. The Seas
    The Seas is an ocean-themed pavilion and aquarium attraction at EPCOT in Walt Disney World, featuring marine life exhibits and the Finding Nemo franchise.
  • C. The Sea
    "The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
  • D. The Sea
    The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
  • E. The Sea
    "The Sea" is a 2013 British-Irish drama film adaptation of John Banville’s novel, following a grieving man who returns to a seaside town from his childhood to confront his past.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe64328819083ce42704cf0602d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b495800819091c7e1636514222a completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:51 a.m.