Triple
T17144683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogijima |
E416059
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ogichō
Ogichō is the main village and residential settlement located on the small island of Ogijima in Japan’s Seto Inland Sea.
|
E1375772
|
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: Ogichō | Statement: [Ogijima, hasSettlement, Ogichō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogichō Context triple: [Ogijima, hasSettlement, Ogichō]
-
A.
Osawa
Osawa is a Japanese surname and place name that serves as an alternative spelling of "Ozawa."
-
B.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
C.
Hamamatsuchō
Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
-
D.
Yodoyabashi
Yodoyabashi is a major business and commercial district in central Osaka, known for its financial institutions, offices, and convenient subway and rail connections.
-
E.
Ōgaki
Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
- 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: Ogichō Triple: [Ogijima, hasSettlement, Ogichō]
Generated description
Ogichō is the main village and residential settlement located on the small island of Ogijima in Japan’s Seto Inland Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ogichō Target entity description: Ogichō is the main village and residential settlement located on the small island of Ogijima in Japan’s Seto Inland Sea.
-
A.
Osawa
Osawa is a Japanese surname and place name that serves as an alternative spelling of "Ozawa."
-
B.
Toyonaka
Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
-
C.
Hamamatsuchō
Hamamatsuchō is a business and transportation district in Tokyo known for its major train and monorail stations, office towers, and proximity to Tokyo Bay.
-
D.
Yodoyabashi
Yodoyabashi is a major business and commercial district in central Osaka, known for its financial institutions, offices, and convenient subway and rail connections.
-
E.
Ōgaki
Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d8ca8c81909bba0cd6d60a4776 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733b28b808190a06ec86a6e2adb83 |
completed | May 15, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_6a073623e5a08190a5a7398ee9bc56b2 |
completed | May 15, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073712f4048190831dddd875e82324 |
completed | May 15, 2026, 3:09 p.m. |
Created at: April 10, 2026, 5:36 a.m.