Triple
T6795000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobu Tojo Line |
E156031
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object |
Sakado
Sakado is a city in Saitama Prefecture, Japan, known as a residential and educational hub within the Greater Tokyo area.
|
E849325
|
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: Sakado | Statement: [Tobu Tojo Line, servesCity, Sakado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakado Context triple: [Tobu Tojo Line, servesCity, Sakado]
-
A.
Yokkaichi
Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
-
B.
Katsuragi-shi
Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
-
C.
Kaizuka
Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
-
D.
Nagahama
Nagahama is a historic lakeside city in central Japan known for its preserved Edo-period streets, Nagahama Castle, and scenic location on the northeastern shore of Lake Biwa.
-
E.
Takasaki
Takasaki is a city in Japan’s Gunma Prefecture known for its Daruma doll production and as a regional commercial and transportation hub.
- 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: Sakado Triple: [Tobu Tojo Line, servesCity, Sakado]
Generated description
Sakado is a city in Saitama Prefecture, Japan, known as a residential and educational hub within the Greater Tokyo area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sakado Target entity description: Sakado is a city in Saitama Prefecture, Japan, known as a residential and educational hub within the Greater Tokyo area.
-
A.
Yokkaichi
Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
-
B.
Katsuragi-shi
Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
-
C.
Kaizuka
Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
-
D.
Nagahama
Nagahama is a historic lakeside city in central Japan known for its preserved Edo-period streets, Nagahama Castle, and scenic location on the northeastern shore of Lake Biwa.
-
E.
Takasaki
Takasaki is a city in Japan’s Gunma Prefecture known for its Daruma doll production and as a regional commercial and transportation hub.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c6e7dc8190b1f33372d047baba |
completed | March 27, 2026, 6:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d636f0386481909a4957d57b2493ff |
completed | April 8, 2026, 11:07 a.m. |
| NEDg | Description generation | batch_69d63780a1b08190be5c05750ab46f04 |
completed | April 8, 2026, 11:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6382565148190942ff8fce23b2f01 |
completed | April 8, 2026, 11:12 a.m. |
Created at: March 27, 2026, 2:15 p.m.