Triple

T15410763
Position Surface form Disambiguated ID Type / Status
Subject Mount Haystack E368582 entity
Predicate hasViewOf P854 FINISHED
Object Skylight E287593 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: Skylight | Statement: [Mount Haystack, hasViewOf, Skylight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skylight
Context triple: [Mount Haystack, hasViewOf, Skylight]
  • A. Skylight chosen
    Skylight is a prominent Adirondack High Peak in New York’s High Peaks Wilderness, known for its open, rocky summit and expansive panoramic views.
  • B. Skylight
    "Skylight" is a critically acclaimed stage play by David Hare that explores the complex emotional and social tensions between former lovers reunited after years apart.
  • C. Moonlight Pavilion
    Moonlight Pavilion is an ornate ceremonial hall within Phnom Penh’s Royal Palace complex, used for royal events, performances, and public appearances.
  • D. Sky Light
    Sky Light is an abstract painting by American artist Alma Thomas, characterized by her signature mosaic-like blocks of color evoking light and atmospheric movement.
  • E. Moonglow
    Moonglow is a genre-blending novel by Michael Chabon that fictionalizes his grandfather’s life story against the backdrop of World War II and postwar America.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7356548190af5651ab0bc03ab9 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.