Triple

T13292900
Position Surface form Disambiguated ID Type / Status
Subject Chiayi City E316602 entity
Predicate hasFormerName P65 FINISHED
Object Kagi
Kagi is the former Japanese-era name for Chiayi City, a municipality in southwestern Taiwan.
E1033438 NE FINISHED

How this triple was built (4 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: Kagi | Statement: [Chiayi City, hasFormerName, Kagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kagi
Context triple: [Chiayi City, hasFormerName, Kagi]
  • A. Kagi
    Kagi is a surname most notably associated with John Henry Kagi, an American abolitionist and close associate of John Brown.
  • B. Kuji
    Kuji is a coastal city in northeastern Japan known for its fishing industry, scenic Pacific shoreline, and traditional culture within Iwate Prefecture.
  • C. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • D. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • E. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kagi
Triple: [Chiayi City, hasFormerName, Kagi]
Generated description
Kagi is the former Japanese-era name for Chiayi City, a municipality in southwestern Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kagi
Target entity description: Kagi is the former Japanese-era name for Chiayi City, a municipality in southwestern Taiwan.
  • A. Kagi
    Kagi is a surname most notably associated with John Henry Kagi, an American abolitionist and close associate of John Brown.
  • B. Kuji
    Kuji is a coastal city in northeastern Japan known for its fishing industry, scenic Pacific shoreline, and traditional culture within Iwate Prefecture.
  • C. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • D. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • E. Takas
    Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
  • F. None of above. chosen

Provenance (5 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99078bcf0819083195fb556bcacb2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d6dc988190ab7183089113237f completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717f4d80c8190a1a95c0f2c83c563 completed May 3, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_69f718b852808190a2a0fb48424bffb0 completed May 3, 2026, 9:43 a.m.
Created at: April 9, 2026, 9:27 p.m.