Triple

T22017381
Position Surface form Disambiguated ID Type / Status
Subject Battle of Slim River E543747 entity
Predicate location P40 FINISHED
Object Slim River 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: Slim River | Statement: [Battle of Slim River, location, Slim River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slim River
Context triple: [Battle of Slim River, location, Slim River]
  • A. Slim River chosen
    Slim River is a town and river in Perak, Malaysia, historically noted as the site of a major World War II battle during the Japanese invasion of Malaya.
  • B. Misery Brook
    Misery Brook is a small stream in Connecticut that feeds into the Quinnipiac River as part of its watershed system.
  • C. False River
    False River is a river in northern Quebec, Canada, that flows into Ungava Bay in the Arctic region.
  • D. False River
    False River is a tidal channel and backwater of the Sacramento–San Joaquin River Delta in Northern California, known for its fishing, boating, and wetland habitat.
  • E. Silver River
    Silver River is a spring-fed waterway in central Florida known for its clear waters, abundant wildlife, and popular recreational activities such as kayaking and wildlife viewing.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c4e0088190a5241d1b87d746da completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.