Triple

T6505899
Position Surface form Disambiguated ID Type / Status
Subject Waimate District E150006 entity
Predicate containsSettlement P847 FINISHED
Object Ikawai
Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
 E788390 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: Ikawai | Statement: [Waimate District, containsSettlement, Ikawai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ikawai
Context triple: [Waimate District, containsSettlement, Ikawai]
  • A. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • B. Kitadake
    Kitadake is one of the principal peaks of the active Sakurajima volcanic complex in Kagoshima Prefecture, Japan.
  • C. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Kameyama
    Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
  • 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: Ikawai
Triple: [Waimate District, containsSettlement, Ikawai]
Generated description
Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ikawai
Target entity description: Ikawai is a small rural settlement in the Waimate District of the Canterbury region on New Zealand’s South Island.
  • A. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • B. Kitadake
    Kitadake is one of the principal peaks of the active Sakurajima volcanic complex in Kagoshima Prefecture, Japan.
  • C. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • D. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • E. Kameyama
    Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69966ff708190902c88cb6b48e5d7 completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d09b0002948190bb9d47cd0c766003 completed April 4, 2026, 5 a.m.
NEDg Description generation batch_69d09ca202f88190b21b89e61b1596ff completed April 4, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69d09d914d688190af609c4485c746cc completed April 4, 2026, 5:11 a.m.
Created at: March 27, 2026, 1:43 p.m.