Triple
T2825938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setagaya |
E54921
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
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.
|
E300641
|
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: 世田谷区 | Statement: [Setagaya, nativeName, 世田谷区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 世田谷区 Context triple: [Setagaya, nativeName, 世田谷区]
-
A.
墨田区
墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
-
B.
文京区
文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
-
C.
Meguro Ward
Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
-
D.
Shibuya-ku
Shibuya-ku is a major commercial and entertainment ward in central Tokyo, Japan, known for its bustling shopping districts, nightlife, and the iconic Shibuya Crossing.
-
E.
千駄ヶ谷
千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
- 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: 世田谷区 Triple: [Setagaya, nativeName, 世田谷区]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 世田谷区 Target entity description: 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.
-
A.
墨田区
墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
-
B.
文京区
文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
-
C.
Meguro Ward
Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
-
D.
Shibuya-ku
Shibuya-ku is a major commercial and entertainment ward in central Tokyo, Japan, known for its bustling shopping districts, nightlife, and the iconic Shibuya Crossing.
-
E.
千駄ヶ谷
千駄ヶ谷は、東京都渋谷区に位置し、新国立競技場や明治神宮外苑などが近接する住宅地兼文教・スポーツエリアです。
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde925e688190bb390d3182f8c4f0 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaf9298819093eb24a8ff0b5e02 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf20b6a08190bdf91bed219d2653 |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf7e02648190889576d7a180a193 |
completed | March 10, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:59 p.m.