Triple

T21584751
Position Surface form Disambiguated ID Type / Status
Subject Blue House E532618 entity
Predicate surroundedBy P224 FINISHED
Object Inwangsan 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: Inwangsan | Statement: [Blue House, surroundedBy, Inwangsan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inwangsan
Context triple: [Blue House, surroundedBy, Inwangsan]
  • A. Inwangsan chosen
    Inwangsan is a prominent granite peak in central Seoul, South Korea, known for its scenic hiking trails, shamanist shrines, and views over historic Jongno and the city skyline.
  • B. Baegunsan
    Baegunsan is a mountain located in or near the city of Uiwang in South Korea, known for its hiking trails and natural scenery.
  • C. Kumgangsan
    Kumgangsan, also known as Mount Kumgang or the Diamond Mountain, is a famed scenic mountain in southeastern North Korea renowned for its dramatic granite peaks, clear streams, and cultural significance in Korean art and history.
  • D. Hallasan
    Hallasan is a massive shield volcano and South Korea’s highest mountain, located at the center of Jeju Island and renowned for its crater lake and diverse ecosystems.
  • E. Junggu
    Junggu is the romanized name for Jung District, a central administrative and commercial area found in several major South Korean cities.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.