Triple

T2828020
Position Surface form Disambiguated ID Type / Status
Subject Andrew Carnegie Mansion E54969 entity
Predicate partOf P40 FINISHED
Object Museum Mile E5552 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: Museum Mile | Statement: [Andrew Carnegie Mansion, partOf, Museum Mile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Museum Mile
Context triple: [Andrew Carnegie Mansion, partOf, Museum Mile]
  • A. Museum Mile chosen
    Museum Mile is a renowned stretch of New York City's Fifth Avenue famous for its dense concentration of major art and cultural museums.
  • B. Museum Mile
    Museum Mile is a prominent cultural district in Bonn, Germany, known for its dense concentration of major museums and art institutions.
  • C. Museum Row
    Museum Row is a prominent stretch of cultural institutions and museums in Los Angeles, known for its dense concentration of major art, history, and science museums.
  • D. Parkway Museums District
    The Parkway Museums District is a cultural corridor in Philadelphia renowned for its concentration of major museums, public art, and civic institutions along the Benjamin Franklin Parkway.
  • E. Grout Museum District
    The Grout Museum District is a group of history, science, and cultural museums and centers in Waterloo, Iowa, known for exhibits on regional history, veterans, and innovation.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb4f3ec8190987afb7a2ac302e2 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.