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.