Triple

T14772444
Position Surface form Disambiguated ID Type / Status
Subject Seattle landmarks E347167 entity
Predicate hasPart P35 FINISHED
Object Fremont Troll E894817 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: Fremont Troll | Statement: [Seattle landmarks, hasPart, Fremont Troll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fremont Troll
Context triple: [Seattle landmarks, hasPart, 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. 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.
  • D. Bromo Seltzer Tower
    The Bromo Seltzer Tower is a historic early-20th-century clock tower and former advertising landmark in downtown Baltimore, Maryland.
  • E. The Tridge
    The Tridge is a distinctive three-way wooden footbridge and local landmark located at the confluence of the Tittabawassee and Chippewa Rivers in Midland, Michigan.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cfabdfc8190ae7ee06b11f9b540 completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.