Triple
T14690572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niigata Prefecture |
E345022
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Sanjo
Sanjo is a city in central Niigata Prefecture, Japan, known for its metalworking and cutlery industries.
|
E1373733
|
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: Sanjo | Statement: [Niigata Prefecture, containsCity, Sanjo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjo Context triple: [Niigata Prefecture, containsCity, Sanjo]
-
A.
Sanjo
Sanjo was a Japanese noblewoman best known as the principal wife of the Sengoku-period warlord Takeda Shingen.
-
B.
Saijo
Saijo is a city in Ehime Prefecture on Japan’s Shikoku island, known for its industrial facilities and maritime-related industries.
-
C.
Shichirōji
Shichirōji is a seasoned, loyal samurai and former comrade of Kambei in Akira Kurosawa’s film "Seven Samurai," known for his calm demeanor and steadfast bravery.
-
D.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
-
E.
Kamishihoro
Kamishihoro is a town in Hokkaido, Japan, known for its natural scenery, hot springs, and the historic Taushubetsu River Bridge within the Daisetsuzan mountain region.
- 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: Sanjo Triple: [Niigata Prefecture, containsCity, Sanjo]
Generated description
Sanjo is a city in central Niigata Prefecture, Japan, known for its metalworking and cutlery industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanjo Target entity description: Sanjo is a city in central Niigata Prefecture, Japan, known for its metalworking and cutlery industries.
-
A.
Sanjo
Sanjo was a Japanese noblewoman best known as the principal wife of the Sengoku-period warlord Takeda Shingen.
-
B.
Saijo
Saijo is a city in Ehime Prefecture on Japan’s Shikoku island, known for its industrial facilities and maritime-related industries.
-
C.
Shichirōji
Shichirōji is a seasoned, loyal samurai and former comrade of Kambei in Akira Kurosawa’s film "Seven Samurai," known for his calm demeanor and steadfast bravery.
-
D.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
-
E.
Kamishihoro
Kamishihoro is a town in Hokkaido, Japan, known for its natural scenery, hot springs, and the historic Taushubetsu River Bridge within the Daisetsuzan mountain region.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b64b16c8190ab23bfc8a2ec7b66 |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072d79ae348190a078fb5441c6466b |
completed | May 15, 2026, 2:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072e930e948190ac19fa2b81639922 |
completed | May 15, 2026, 2:32 p.m. |
Created at: April 10, 2026, 1:28 a.m.