Triple

T450428
Position Surface form Disambiguated ID Type / Status
Subject Anchorage E7113 entity
Predicate sisterCity P1072 FINISHED
Object Chitose
Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
E75190 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: Chitose | Statement: [Anchorage, sisterCity, Chitose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chitose
Context triple: [Anchorage, sisterCity, Chitose]
  • A. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • B. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • C. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • D. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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: Chitose
Triple: [Anchorage, sisterCity, Chitose]
Generated description
Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chitose
Target entity description: Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
  • A. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • B. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • C. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • D. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef691cc8819091729eaac52c9457 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5216a74088190bf8d363d32952c28 completed March 2, 2026, 5:34 a.m.
NEDg Description generation batch_69a521ce19e08190aadeb913977c2d2e completed March 2, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_69a5226144f881908e0d1add6be6e156 completed March 2, 2026, 5:38 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.