Triple
T12592522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 世田谷区 |
E300641
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
川崎市多摩区
川崎市多摩区は、神奈川県川崎市北西部に位置し、多摩川沿いの住宅地や大学キャンパスが集まる文教エリアとして知られる行政区です。
|
E995830
|
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: 川崎市多摩区 | Statement: [世田谷区, hasNeighbour, 川崎市多摩区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 川崎市多摩区 Context triple: [世田谷区, hasNeighbour, 川崎市多摩区]
-
A.
川崎市中原区
川崎市中原区は、神奈川県川崎市の中央部に位置し、武蔵小杉などの再開発エリアを抱える住宅・商業地域です。
-
B.
川越市
川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
-
C.
荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
-
D.
品川区
品川区 is one of Tokyo’s 23 special wards, known as a major commercial and transportation hub that combines high-rise business districts with traditional residential neighborhoods along Tokyo Bay.
-
E.
福知山市
福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
- 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: 川崎市多摩区 Triple: [世田谷区, hasNeighbour, 川崎市多摩区]
Generated description
川崎市多摩区は、神奈川県川崎市北西部に位置し、多摩川沿いの住宅地や大学キャンパスが集まる文教エリアとして知られる行政区です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 川崎市多摩区 Target entity description: 川崎市多摩区は、神奈川県川崎市北西部に位置し、多摩川沿いの住宅地や大学キャンパスが集まる文教エリアとして知られる行政区です。
-
A.
川崎市中原区
川崎市中原区は、神奈川県川崎市の中央部に位置し、武蔵小杉などの再開発エリアを抱える住宅・商業地域です。
-
B.
川越市
川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
-
C.
荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
-
D.
品川区
品川区 is one of Tokyo’s 23 special wards, known as a major commercial and transportation hub that combines high-rise business districts with traditional residential neighborhoods along Tokyo Bay.
-
E.
福知山市
福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cc6d3c81908fbb22601c46f3f7 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668679dfc8190ac05eeb200f23985 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66a602f088190984fa3381b5be944 |
completed | May 2, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b18e68881908bf79ab52bcc909e |
completed | May 2, 2026, 9:22 p.m. |
Created at: April 9, 2026, 5:07 p.m.