Triple

T21721062
Position Surface form Disambiguated ID Type / Status
Subject Seoul Subway Line 1 E536155 entity
Predicate connects P390 FINISHED
Object Asan 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: Asan | Statement: [Seoul Subway Line 1, connects, Asan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asan
Context triple: [Seoul Subway Line 1, connects, Asan]
  • A. Asan chosen
    Asan is a city in South Korea known for its hot springs, historical sites, and growing role as an industrial and educational center.
  • B. Asanina
    Asanina is a Byzantine noble family name associated with the influential Asen (Asan) dynasty.
  • C. Asan-Maina
    Asan-Maina is a village municipality on the western coast of Guam, known for its historical significance in World War II and proximity to the island’s capital, Hagåtña.
  • D. Asen
    Asen was a medieval Bulgarian noble and co-leader, with his brother Peter, of the uprising that restored the Second Bulgarian Empire in the late 12th century.
  • E. Ansip
    Ansip is the surname of Andrus Ansip, an Estonian politician and former Prime Minister of Estonia.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96f1fbc8190a202f834aec1a319 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.