Triple

T4652295
Position Surface form Disambiguated ID Type / Status
Subject Lake Orion, Michigan E102322 entity
Predicate locatedWestOf P4239 FINISHED
Object Oxford, Michigan E294061 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: Oxford, Michigan | Statement: [Lake Orion, Michigan, locatedWestOf, Oxford, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford, Michigan
Context triple: [Lake Orion, Michigan, locatedWestOf, Oxford, Michigan]
  • A. Oxford, Michigan chosen
    Oxford, Michigan is a small village in northeastern Oakland County known for its historic downtown and role as a suburban community within the Detroit metropolitan area.
  • B. Rockford, Michigan
    Rockford, Michigan is a small city in western Michigan known for its historic downtown, scenic Rogue River setting, and strong community atmosphere.
  • C. Westland, Michigan
    Westland, Michigan is a suburban city in Wayne County within the Detroit metropolitan area, known primarily as a residential and retail community.
  • D. Southgate, Michigan
    Southgate, Michigan is a suburban city in the Downriver area of Metro Detroit known for its residential neighborhoods and commercial corridors.
  • E. Ypsilanti
    Ypsilanti is a city in southeastern Michigan known for Eastern Michigan University and its historic downtown and automotive heritage.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6314883481908f085a7af497b0d8 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43936630819094417faf4df7f6df completed March 21, 2026, 7:06 a.m.
Created at: March 20, 2026, 1:14 p.m.