Triple

T15248066
Position Surface form Disambiguated ID Type / Status
Subject 品川区 E364438 entity
Predicate locatedInSubregion P40 FINISHED
Object 東京都区部
東京都区部 is the densely populated urban core of Tokyo, comprising its 23 special wards that function collectively as the central city area of Japan’s capital.
E1145697 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: 東京都区部 | Statement: [品川区, locatedInSubregion, 東京都区部]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 東京都区部
Context triple: [品川区, locatedInSubregion, 東京都区部]
  • A. 東京都港区
    東京都港区は、東京湾に面し大使館や企業本社、高級住宅地が集まる東京都心の行政区の一つです。
  • B. Ichigaya district, Tokyo
    Ichigaya district, Tokyo is a central Tokyo neighborhood known for hosting major government and defense institutions, including Japan’s Ministry of Defense.
  • C. 新宿区
    新宿区は、東京都心に位置し、日本有数の繁華街・オフィス街・行政機関が集まる主要な特別区です。
  • D. Tama region of Tokyo
    The Tama region of Tokyo is a largely suburban and semi-rural area in western Tokyo Metropolis, known for its residential communities, parks, and universities outside the city’s dense urban core.
  • E. 世田谷区
    世田谷区 is a special ward in western Tokyo known for its large residential areas, relatively high affluence, and numerous parks and cultural facilities.
  • 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: 東京都区部
Triple: [品川区, locatedInSubregion, 東京都区部]
Generated description
東京都区部 is the densely populated urban core of Tokyo, comprising its 23 special wards that function collectively as the central city area of Japan’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 東京都区部
Target entity description: 東京都区部 is the densely populated urban core of Tokyo, comprising its 23 special wards that function collectively as the central city area of Japan’s capital.
  • A. 東京都港区
    東京都港区は、東京湾に面し大使館や企業本社、高級住宅地が集まる東京都心の行政区の一つです。
  • B. Ichigaya district, Tokyo
    Ichigaya district, Tokyo is a central Tokyo neighborhood known for hosting major government and defense institutions, including Japan’s Ministry of Defense.
  • C. 新宿区
    新宿区は、東京都心に位置し、日本有数の繁華街・オフィス街・行政機関が集まる主要な特別区です。
  • D. Tama region of Tokyo
    The Tama region of Tokyo is a largely suburban and semi-rural area in western Tokyo Metropolis, known for its residential communities, parks, and universities outside the city’s dense urban core.
  • E. 世田谷区
    世田谷区 is a special ward in western Tokyo known for its large residential areas, relatively high affluence, and numerous parks and cultural facilities.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.