Triple

T16509543
Position Surface form Disambiguated ID Type / Status
Subject La Crosse River E401021 entity
Predicate hasName P744 FINISHED
Object La Crosse River E401021 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: La Crosse River | Statement: [La Crosse River, hasName, La Crosse River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Crosse River
Context triple: [La Crosse River, hasName, La Crosse River]
  • A. La Crosse River chosen
    The La Crosse River is a tributary of the Mississippi River in western Wisconsin, flowing through Fort McCoy and the city of La Crosse.
  • B. Rum River
    Rum River is a river in central Minnesota that flows south from Mille Lacs Lake to the Mississippi River, passing through communities such as Anoka along the way.
  • C. Elm River
    Elm River is a lesser-known tributary waterway that feeds into the James River within its watershed.
  • D. Thief River
    Thief River is a tributary stream in northwestern Minnesota that flows into the Red Lake River and helps drain the surrounding agricultural and wetland areas.
  • E. Nemadji River
    The Nemadji River is a tributary in northeastern Minnesota and northwestern Wisconsin that flows into Lake Superior near the Duluth–Superior harbor, influencing the region’s watershed and estuarine environment.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e54f7508190804bbae4c9bc8fe3 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608038288190925586dfb7e64689 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.