Triple

T10482921
Position Surface form Disambiguated ID Type / Status
Subject Portuguese culture E247215 entity
Predicate hasTraditionalRegion P14194 FINISHED
Object Minho E740598 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: Minho | Statement: [Portuguese culture, hasTraditionalRegion, Minho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minho
Context triple: [Portuguese culture, hasTraditionalRegion, Minho]
  • A. Minho chosen
    Minho is a lush, green region in northwest Portugal known for its cool, rainy climate, historic towns, and production of the light, crisp Vinho Verde wines.
  • B. Minho
    Minho is a key protagonist in The Maze Runner series, known as the brave and resourceful Keeper of the Runners who helps lead the Gladers through the deadly maze.
  • C. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • D. Seungkwan
    Seungkwan is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful vocals, variety show presence, and bright personality.
  • E. Jinhae
    Jinhae is a coastal district in Changwon, South Korea, best known for its large naval base and famous annual cherry blossom festival.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095d21c08190a0b2f3e57fabb1d8 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03336988190bc1e61126fe576be completed April 10, 2026, 7:01 a.m.
Created at: April 6, 2026, 12:22 p.m.