Triple

T15136121
Position Surface form Disambiguated ID Type / Status
Subject Romulus Community Schools E361557 entity
Predicate servesCommunity P82 FINISHED
Object Romulus, Michigan 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: Romulus, Michigan | Statement: [Romulus Community Schools, servesCommunity, Romulus, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romulus, Michigan
Context triple: [Romulus Community Schools, servesCommunity, Romulus, Michigan]
  • A. Romulus, Michigan chosen
    Romulus, Michigan is a city in the Detroit metropolitan area best known as the location of Detroit Metropolitan Wayne County Airport.
  • B. Romeo, Michigan
    Romeo, Michigan is a small historic village in Macomb County known for its preserved 19th-century architecture and annual Peach Festival.
  • C. Kremlin, Michigan
    Kremlin, Michigan is a small unincorporated community located in Dickinson County in Michigan’s Upper Peninsula.
  • D. Ovid, Michigan
    Ovid, Michigan is a small rural village in the central Lower Peninsula of Michigan known for its agricultural surroundings and tight-knit community.
  • E. Hesperia, Michigan
    Hesperia, Michigan is a small village in western Michigan known for its rural character, outdoor recreation opportunities, and location near the White River.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b3f6f48190b1ed7c7b28feb7a6 completed April 15, 2026, 9:40 p.m.
Created at: April 10, 2026, 3:07 a.m.