Triple

T5784074
Position Surface form Disambiguated ID Type / Status
Subject Tool E128226 entity
Predicate notableWork P4 FINISHED
Object Undertow E393470 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: Undertow | Statement: [Tool, notableWork, Undertow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Undertow
Context triple: [Tool, notableWork, Undertow]
  • A. Undertow chosen
    Undertow is a spinning roller coaster attraction at the Santa Cruz Beach Boardwalk in California.
  • B. River Suck
    River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
  • C. Achterwasser
    Achterwasser is a coastal lagoon on the German island of Usedom, connected to the Baltic Sea and known for its shallow waters and scenic natural surroundings.
  • D. The Jetty
    The Jetty is a segment of Chicago’s Riverwalk featuring floating gardens, fishing stations, and educational elements that bring visitors closer to the ecology of the Chicago River.
  • E. Black Water
    Black Water is the grim historical nickname for the Cellular Jail in the Andaman and Nicobar Islands, infamous for its brutal treatment of Indian freedom fighters during British colonial rule.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a19870c819084dc68b36b0cdd60 completed March 22, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098112a1c8190a8aacb208c544959 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:50 p.m.