Triple

T7319879
Position Surface form Disambiguated ID Type / Status
Subject Struma River E168510 entity
Predicate historicalName P65 FINISHED
Object Strymon E294577 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: Strymon | Statement: [Struma River, historicalName, Strymon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strymon
Context triple: [Struma River, historicalName, Strymon]
  • A. Strymon chosen
    Strymon is the ancient name of the Struma River, a historically significant waterway in the Balkans that flows through Bulgaria and Greece into the Aegean Sea.
  • B. Mogami
    Mogami was a lead ship of a class of Japanese World War II heavy cruisers known for their high speed, heavy armament, and participation in major Pacific naval battles.
  • C. Mackie
    Mackie is the surname of American rapper Remy Ma, known for her influential role in East Coast hip hop and appearances on reality television.
  • D. Mackie Academy
    Mackie Academy is a secondary school serving the town of Stonehaven and the surrounding area in Aberdeenshire, Scotland.
  • E. Zeppotron
    Zeppotron is a British television production company best known for co-producing the acclaimed anthology series "Black Mirror."
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef1a7a3c81909504eb711056f302 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eefcd7148190818d581cbde9aff1 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.