Triple

T4331994
Position Surface form Disambiguated ID Type / Status
Subject WTS E96773 entity
Predicate locatedIn P40 FINISHED
Object Holland, Michigan E945 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: Holland, Michigan | Statement: [WTS, locatedIn, Holland, Michigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holland, Michigan
Context triple: [WTS, locatedIn, Holland, Michigan]
  • A. Holland, Michigan chosen
    Holland, Michigan is a city on the shores of Lake Michigan known for its strong Dutch heritage, annual Tulip Time Festival, and traditional Dutch architecture and culture.
  • B. Zeeland, Michigan
    Zeeland, Michigan is a small city in Ottawa County known for its Dutch heritage, strong manufacturing base, and close-knit community within the greater Holland–Grand Rapids area.
  • 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. Niles, Michigan
    Niles, Michigan is a small city in southwestern Michigan known for its historic downtown, early settlement history, and scenic location along the St. Joseph River.
  • E. Muskegon, Michigan
    Muskegon, Michigan is a port city in western Michigan known for its Lake Michigan shoreline, maritime heritage, and recreational beaches.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514dc588819086a4c6d585c1b5b1 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69becf8f926481908f6e1cf33fc79a04 completed March 21, 2026, 5:04 p.m.
Created at: March 12, 2026, 11:13 p.m.