Triple

T1908228
Position Surface form Disambiguated ID Type / Status
Subject Manchester Regiment E38050 entity
Predicate servedInTheatre P31139 FINISHED
Object Korea E20710 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: Korea | Statement: [Manchester Regiment, servedInTheatre, Korea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korea
Context triple: [Manchester Regiment, servedInTheatre, Korea]
  • A. South Korea
    South Korea is an East Asian nation on the southern half of the Korean Peninsula, known for its advanced technology, vibrant pop culture, and rapid economic development.
  • B. Kore
    Kore is an alternate name for Persephone, the Greek goddess associated with spring’s growth and the queen of the underworld.
  • C. North Korea
    North Korea is an isolated, authoritarian state in East Asia known for its dynastic leadership, nuclear weapons program, and tense relations with much of the international community.
  • D. Korean Peninsula chosen
    The Korean Peninsula is a region in East Asia extending southward from the Asian mainland, historically unified but now divided into North and South Korea.
  • E. Korea Exchange
    Korea Exchange is South Korea’s main securities and derivatives marketplace, serving as the country’s primary stock exchange for major companies such as Samsung.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b55edc8190bce8ac97196939a9 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69b24a9a49e481908f1916cbff31d908 completed March 12, 2026, 5:09 a.m.
Created at: March 4, 2026, 7:35 p.m.