Triple

T15419178
Position Surface form Disambiguated ID Type / Status
Subject David Starsky E369327 entity
Predicate workLocation P7 FINISHED
Object Bay City E49042 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: Bay City | Statement: [David Starsky, workLocation, Bay City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay City
Context triple: [David Starsky, workLocation, Bay City]
  • A. Bay City chosen
    Bay City is a small industrial and port city in east-central Michigan located near Saginaw Bay on Lake Huron.
  • B. Marine City
    Marine City is a visionary megastructure concept by Japanese Metabolist architect Kiyonori Kikutake, proposing a self-contained, floating urban habitat designed to address overpopulation and land scarcity.
  • C. Marine City
    Marine City is a modern high-rise waterfront district in Busan, South Korea, known for its luxury apartments, striking skyline, and scenic views near Haeundae Beach.
  • D. Atlanta, Michigan
    Atlanta, Michigan is a small unincorporated community in northern Michigan known for its outdoor recreation and role as the administrative center of Montmorency County.
  • E. Frankfort, Michigan
    Frankfort, Michigan is a small Lake Michigan shoreline city known for its harbor, beaches, and role as a regional tourism and fishing hub in northwestern 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001f7d79348190aba1889a7eb3d7c8 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 3:20 a.m.