Triple

T4127114
Position Surface form Disambiguated ID Type / Status
Subject Chōfu E92751 entity
Predicate hasFacility P105 FINISHED
Object Chōfu Airport
Chōfu Airport is a regional airport in Tokyo, Japan, primarily serving domestic commuter and charter flights, including services to the Izu Islands.
E418503 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: Chōfu Airport | Statement: [Chōfu, hasFacility, Chōfu Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chōfu Airport
Context triple: [Chōfu, hasFacility, Chōfu Airport]
  • A. Okadama Airport
    Okadama Airport is a regional airport in Sapporo, Japan, primarily serving domestic and general aviation flights.
  • B. Izumo Airport
    Izumo Airport is a regional airport in Shimane Prefecture, Japan, providing domestic air services that connect the Izumo area with major Japanese cities.
  • C. Tajima Airport
    Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
  • D. Itami Airport
    Itami Airport is a major domestic airport serving the Osaka metropolitan area in Japan.
  • E. Miyako Airport
    Miyako Airport is a regional airport serving Miyako Island in Japan’s Okinawa Prefecture, handling domestic flights and connecting the island to major Japanese cities.
  • 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: Chōfu Airport
Triple: [Chōfu, hasFacility, Chōfu Airport]
Generated description
Chōfu Airport is a regional airport in Tokyo, Japan, primarily serving domestic commuter and charter flights, including services to the Izu Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chōfu Airport
Target entity description: Chōfu Airport is a regional airport in Tokyo, Japan, primarily serving domestic commuter and charter flights, including services to the Izu Islands.
  • A. Okadama Airport
    Okadama Airport is a regional airport in Sapporo, Japan, primarily serving domestic and general aviation flights.
  • B. Izumo Airport
    Izumo Airport is a regional airport in Shimane Prefecture, Japan, providing domestic air services that connect the Izumo area with major Japanese cities.
  • C. Tajima Airport
    Tajima Airport is a regional airport in northern Hyogo Prefecture, Japan, primarily serving domestic flights and connecting the Tajima area with major Japanese cities.
  • D. Itami Airport
    Itami Airport is a major domestic airport serving the Osaka metropolitan area in Japan.
  • E. Miyako Airport
    Miyako Airport is a regional airport serving Miyako Island in Japan’s Okinawa Prefecture, handling domestic flights and connecting the island to major Japanese cities.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af021b17a08190b520101f54ec1e33 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f29865c8190b0ecb7acc9901765 completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b5831b65a081909c4d4b73e833e023 completed March 14, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5836fbf808190ad2d1c731fa084ef completed March 14, 2026, 3:49 p.m.
Created at: March 9, 2026, 3:42 p.m.