Triple

T20588488
Position Surface form Disambiguated ID Type / Status
Subject Later Baekje E505849 entity
Predicate alsoKnownAs P39 FINISHED
Object Later Paekche 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: Later Paekche | Statement: [Later Baekje, alsoKnownAs, Later Paekche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Later Paekche
Context triple: [Later Baekje, alsoKnownAs, Later Paekche]
  • A. Later Baekje chosen
    Later Baekje was a short-lived Korean kingdom of the Later Three Kingdoms period (10th century), founded by Gyeon Hwon in the southwest of the Korean Peninsula.
  • B. Geumgwan Gaya
    Geumgwan Gaya was an ancient Korean city-state and the leading polity of the Gaya confederacy during the Three Kingdoms period.
  • C. Later Goguryeo
    Later Goguryeo was a short-lived Korean kingdom of the 10th century founded by Gung Ye during the Later Three Kingdoms period, claiming the legacy of the ancient Goguryeo state.
  • D. Balhae
    Balhae was a multi-ethnic kingdom that flourished in Northeast Asia from the late 7th to early 10th century, succeeding Goguryeo and blending Korean, Tungusic, and Chinese cultural and political influences.
  • E. Pakchon
    Pakchon is a city in North Pyongan Province, North Korea, known as a regional center for agriculture and light industry.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a9790cc08190b48949834cd421d2 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.