Triple

T4486555
Position Surface form Disambiguated ID Type / Status
Subject Filbert Steps E107253 entity
Predicate providesAccessTo P1985 FINISHED
Object Coit Tower E2794 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: Coit Tower | Statement: [Filbert Steps, providesAccessTo, Coit Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coit Tower
Context triple: [Filbert Steps, providesAccessTo, Coit Tower]
  • A. Coit Tower chosen
    Coit Tower is an iconic white concrete observation tower atop Telegraph Hill in San Francisco, known for its panoramic city views and historic Depression-era murals.
  • B. Austin City Hall
    Austin City Hall is the modern municipal government building and civic center for the city of Austin, Texas.
  • C. Palo Alto City Hall
    Palo Alto City Hall is the municipal government building and administrative center serving the city of Palo Alto, California.
  • D. San Francisco City Hall
    San Francisco City Hall is a historic Beaux-Arts landmark in the city’s Civic Center, serving as the seat of government and a prominent architectural symbol of San Francisco.
  • E. Dallas City Hall
    Dallas City Hall is the modernist seat of government for the city of Dallas, Texas, designed by architect I. M. Pei and located in the downtown area.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52a958288190974b292f54a0e045 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd679cd3b88190a9b90f50f2b7beae completed March 20, 2026, 3:28 p.m.
Created at: March 20, 2026, 12:59 p.m.