Triple

T14729817
Position Surface form Disambiguated ID Type / Status
Subject The Sunset Sea E346040 entity
Predicate borders P224 FINISHED
Object The Arbor E1114208 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 Arbor | Statement: [The Sunset Sea, borders, The Arbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Arbor
Context triple: [The Sunset Sea, borders, The Arbor]
  • A. The Arbor chosen
    The Arbor is a fertile, wine-rich island in the Reach of Westeros famed for its vineyards and powerful Redwyne fleet in George R. R. Martin’s A Song of Ice and Fire series.
  • B. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • C. The Woods
    The Woods is a film scored by composer John Frizzell, known for its atmospheric and suspenseful musical style.
  • D. The Woods
    "The Woods" is a soulful, genre-blending song by American musician Raury that showcases his introspective lyrics and folk-influenced alternative sound.
  • E. The Tree
    "The Tree" is a minimalist abstract painting by American artist Agnes Martin, exemplifying her serene grid-based style and meditative approach to art.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26179688190ba9f3cd045da0e2a completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb87ef7c8190a46f317e5475d40e completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.