Triple

T3747383
Position Surface form Disambiguated ID Type / Status
Subject Republic of Korea Air Force E81240 entity
Predicate headquartersLocation P62 FINISHED
Object Gyeryongdae E156609 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: Gyeryongdae | Statement: [Republic of Korea Air Force, headquartersLocation, Gyeryongdae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyeryongdae
Context triple: [Republic of Korea Air Force, headquartersLocation, Gyeryongdae]
  • A. Gyeryongsan chosen
    Gyeryongsan is a prominent mountain in central South Korea known for its scenic national park, rich biodiversity, and cultural sites including historic Buddhist temples.
  • B. Geumjeongsan
    Geumjeongsan is a prominent mountain in Busan, South Korea, known for its scenic hiking trails, historic fortress walls, and cultural sites.
  • C. Hwangnyeongsan Mountain
    Hwangnyeongsan Mountain is a prominent peak in Busan, South Korea, known for its panoramic city and coastal views, especially popular at night.
  • D. Paektu Mountain
    Paektu Mountain is a volcanic peak on the border of North Korea and China, revered in Korean culture and history and known for its large crater lake, Heaven Lake.
  • E. Ayudag Mountain
    Ayudag Mountain is a prominent volcanic dome on Crimea’s southern coast, known for its distinctive bear-like shape and scenic views over the Black Sea.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6ac5ac8190934ec1a6c887a8f5 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db2f5e9881908c10feafbb569f48 completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.