Triple

T14284808
Position Surface form Disambiguated ID Type / Status
Subject 港区 E354141 entity
Predicate containsLandmark P1098 FINISHED
Object アークヒルズ
アークヒルズは、東京都港区に位置するオフィスビルや住宅、商業施設、ホールなどが集積した日本初期の大規模複合再開発エリアです。
E1090674 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: アークヒルズ | Statement: [港区, containsLandmark, アークヒルズ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: アークヒルズ
Context triple: [港区, containsLandmark, アークヒルズ]
  • A. Austin Hills
    Austin Hills is an American vintner and businessman best known as the co-founder of the renowned Napa Valley winery Grgich Hills Estate.
  • B. Garo Hills
    Garo Hills is a scenic, hilly region in western Meghalaya, India, known for its rich biodiversity, dense forests, and the indigenous Garo community.
  • C. Minden Hills
    Minden Hills is a township in Ontario, Canada, that serves as an administrative and service hub within the County of Haliburton.
  • D. Mayhill
    Mayhill is a small rural community located in the Sacramento Mountains of southern New Mexico, known for its forested surroundings and outdoor recreation opportunities.
  • E. Whitehill
    Whitehill is a small town and civil parish in East Hampshire, England, known for its proximity to the former army town of Bordon and the surrounding heathland and woodland.
  • 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: アークヒルズ
Triple: [港区, containsLandmark, アークヒルズ]
Generated description
アークヒルズは、東京都港区に位置するオフィスビルや住宅、商業施設、ホールなどが集積した日本初期の大規模複合再開発エリアです。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: アークヒルズ
Target entity description: アークヒルズは、東京都港区に位置するオフィスビルや住宅、商業施設、ホールなどが集積した日本初期の大規模複合再開発エリアです。
  • A. Austin Hills
    Austin Hills is an American vintner and businessman best known as the co-founder of the renowned Napa Valley winery Grgich Hills Estate.
  • B. Garo Hills
    Garo Hills is a scenic, hilly region in western Meghalaya, India, known for its rich biodiversity, dense forests, and the indigenous Garo community.
  • C. Minden Hills
    Minden Hills is a township in Ontario, Canada, that serves as an administrative and service hub within the County of Haliburton.
  • D. Mayhill
    Mayhill is a small rural community located in the Sacramento Mountains of southern New Mexico, known for its forested surroundings and outdoor recreation opportunities.
  • E. Whitehill
    Whitehill is a small town and civil parish in East Hampshire, England, known for its proximity to the former army town of Bordon and the surrounding heathland and woodland.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3da6f0648190876dd86dd51e72cc completed May 8, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e30868481908b55b368ab45c7fb completed May 8, 2026, 1:36 a.m.
Created at: April 10, 2026, 1:10 a.m.