Triple
T4590489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishi-ku, Yokohama |
E103473
|
entity |
| Predicate | hasNotableDistrict |
P295
|
FINISHED |
| Object |
Takashima
Takashima is a prominent commercial and waterfront district in Nishi-ku, Yokohama, known for major shopping complexes and modern urban development.
|
E527068
|
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: Takashima | Statement: [Nishi-ku, Yokohama, hasNotableDistrict, Takashima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takashima Context triple: [Nishi-ku, Yokohama, hasNotableDistrict, Takashima]
-
A.
Takashima
Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
-
B.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
C.
Omishima
Omishima is a scenic island in Japan’s Seto Inland Sea, known for its cycling route on the Shimanami Kaido, historic Oyamazumi Shrine, and coastal landscapes.
-
D.
Innoshima
Innoshima is a small island in Japan’s Seto Inland Sea, known for its scenic coastal views and its role as a key link along the Shimanami Kaido cycling route.
-
E.
Yoroshima
Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
- 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: Takashima Triple: [Nishi-ku, Yokohama, hasNotableDistrict, Takashima]
Generated description
Takashima is a prominent commercial and waterfront district in Nishi-ku, Yokohama, known for major shopping complexes and modern urban development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Takashima Target entity description: Takashima is a prominent commercial and waterfront district in Nishi-ku, Yokohama, known for major shopping complexes and modern urban development.
-
A.
Takashima
Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
-
B.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
C.
Omishima
Omishima is a scenic island in Japan’s Seto Inland Sea, known for its cycling route on the Shimanami Kaido, historic Oyamazumi Shrine, and coastal landscapes.
-
D.
Innoshima
Innoshima is a small island in Japan’s Seto Inland Sea, known for its scenic coastal views and its role as a key link along the Shimanami Kaido cycling route.
-
E.
Yoroshima
Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5923c0c88190952137d448d474cf |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfd42f73b88190bb69bffa6a8b9efe |
completed | March 22, 2026, 11:36 a.m. |
| NEDg | Description generation | batch_69bfd4b21f3881909c1ba8fb37e6a4e5 |
completed | March 22, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfd51d63fc8190a8b229845b1ba933 |
completed | March 22, 2026, 11:40 a.m. |
Created at: March 20, 2026, 1:11 p.m.