Triple

T15914949
Position Surface form Disambiguated ID Type / Status
Subject Eagle Bluff Lighthouse E385944 entity
Predicate locatedIn P40 FINISHED
Object Green Bay E964834 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: Green Bay | Statement: [Eagle Bluff Lighthouse, locatedIn, Green Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Bay
Context triple: [Eagle Bluff Lighthouse, locatedIn, Green Bay]
  • A. Green Bay
    Green Bay is a small community located within the municipality of Northeastern Manitoulin and the Islands in Ontario, Canada.
  • B. Green Bay chosen
    Green Bay is a large arm of Lake Michigan located between Wisconsin and Michigan’s Upper Peninsula, known for its coastal communities, fishing, and maritime history.
  • C. Green Bay, Wisconsin
    Green Bay, Wisconsin is a city in northeastern Wisconsin best known as the home of the NFL’s Green Bay Packers and one of the oldest continuously operating professional football franchises in the United States.
  • D. Milwaukie
    Milwaukie is a small city in northwestern Oregon, located just south of Portland along the Willamette River.
  • E. Milwaukee
    Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of Lake 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1566216d481908dd6e3acaa26fd45 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f7f439c8190b4bcd84e35aa291e completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 4:52 a.m.