Triple

T21287980
Position Surface form Disambiguated ID Type / Status
Subject Fremont E524711 entity
Predicate hasLandmark P105 FINISHED
Object Fremont Troll NE NERFINISHED

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: Fremont Troll | Statement: [Fremont, hasLandmark, Fremont Troll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fremont Troll
Context triple: [Fremont, hasLandmark, Fremont Troll]
  • A. Fremont Troll chosen
    The Fremont Troll is a large, whimsical concrete sculpture of a troll clutching a real Volkswagen Beetle beneath the Aurora Bridge in Seattle’s Fremont neighborhood.
  • B. Ferris
    Ferris is a small suburban city in the Dallas–Fort Worth metropolitan area in Texas.
  • C. Ferris
    Ferris is a surname most notably associated with British actress Pam Ferris, known for her roles in film, television, and theatre.
  • D. Rainier Tower
    Rainier Tower is a distinctive high-rise office building in downtown Seattle, Washington, best known for its unusual design featuring a narrow, flared concrete base supporting a wider upper structure.
  • E. Bromo Seltzer Tower
    The Bromo Seltzer Tower is a historic early-20th-century clock tower and former advertising landmark in downtown Baltimore, Maryland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.