Triple
T10912373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isogo Ward, Yokohama |
E257732
|
entity |
| Predicate | hasRomanization |
P2508
|
FINISHED |
| Object |
Isogo-ku
Isogo-ku is a coastal ward of Yokohama, Japan, known for its mix of residential neighborhoods and heavy industrial zones along Tokyo Bay.
|
E1025820
|
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: Isogo-ku | Statement: [Isogo Ward, Yokohama, hasRomanization, Isogo-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isogo-ku Context triple: [Isogo Ward, Yokohama, hasRomanization, Isogo-ku]
-
A.
Aoi-ku
Aoi-ku is a central ward of Shizuoka City in Japan, known for housing the city’s main administrative and commercial districts.
-
B.
Iwatsuki-ku
Iwatsuki-ku is a ward of Saitama City in Saitama Prefecture, Japan, known historically for its traditional doll-making industry.
-
C.
Sumiyoshi-ku
Sumiyoshi-ku is one of the 24 wards of Osaka, Japan, known as a primarily residential area with a mix of traditional neighborhoods and urban amenities.
-
D.
Miyagino-ku
Miyagino-ku is one of the administrative wards of Sendai, Japan, known for its mix of residential areas, commercial facilities, and transportation hubs.
-
E.
Wakabayashi-ku
Wakabayashi-ku is one of the administrative wards of Sendai, Japan, encompassing residential, commercial, and coastal areas in the eastern part of the city.
- 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: Isogo-ku Triple: [Isogo Ward, Yokohama, hasRomanization, Isogo-ku]
Generated description
Isogo-ku is a coastal ward of Yokohama, Japan, known for its mix of residential neighborhoods and heavy industrial zones along Tokyo Bay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isogo-ku Target entity description: Isogo-ku is a coastal ward of Yokohama, Japan, known for its mix of residential neighborhoods and heavy industrial zones along Tokyo Bay.
-
A.
Aoi-ku
Aoi-ku is a central ward of Shizuoka City in Japan, known for housing the city’s main administrative and commercial districts.
-
B.
Iwatsuki-ku
Iwatsuki-ku is a ward of Saitama City in Saitama Prefecture, Japan, known historically for its traditional doll-making industry.
-
C.
Sumiyoshi-ku
Sumiyoshi-ku is one of the 24 wards of Osaka, Japan, known as a primarily residential area with a mix of traditional neighborhoods and urban amenities.
-
D.
Miyagino-ku
Miyagino-ku is one of the administrative wards of Sendai, Japan, known for its mix of residential areas, commercial facilities, and transportation hubs.
-
E.
Wakabayashi-ku
Wakabayashi-ku is one of the administrative wards of Sendai, Japan, encompassing residential, commercial, and coastal areas in the eastern part of the city.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5b196bc8190a643f2b534497476 |
completed | May 3, 2026, 7:13 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 8, 2026, 9:22 p.m.