Triple
T18763724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashimatsushima |
E458840
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
東松島市
東松島市 is a coastal city in Miyagi Prefecture, Japan, known for its fishing industry, scenic Matsushima Bay area, and recovery efforts following the 2011 Tōhoku earthquake and tsunami.
|
E1341949
|
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: 東松島市 | Statement: [Higashimatsushima, hasJapaneseName, 東松島市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 東松島市 Context triple: [Higashimatsushima, hasJapaneseName, 東松島市]
-
A.
Kesennuma City
Kesennuma City is a coastal city in northeastern Japan known for its fishing industry and for being heavily affected by the 2011 Tōhoku earthquake and tsunami.
-
B.
豊郷町
豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
-
C.
瑞穂町
瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
-
D.
Ichinoseki, Iwate
Ichinoseki, Iwate is a city in southern Iwate Prefecture, Japan, known as a regional hub with historical sites and access to scenic areas such as the Geibi Gorge.
-
E.
Matsudo
Matsudo is a city in Chiba Prefecture, Japan, located in the Greater Tokyo Area and functioning largely as a residential and commercial suburb of Tokyo.
- 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: 東松島市 Triple: [Higashimatsushima, hasJapaneseName, 東松島市]
Generated description
東松島市 is a coastal city in Miyagi Prefecture, Japan, known for its fishing industry, scenic Matsushima Bay area, and recovery efforts following the 2011 Tōhoku earthquake and tsunami.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 東松島市 Target entity description: 東松島市 is a coastal city in Miyagi Prefecture, Japan, known for its fishing industry, scenic Matsushima Bay area, and recovery efforts following the 2011 Tōhoku earthquake and tsunami.
-
A.
Kesennuma City
Kesennuma City is a coastal city in northeastern Japan known for its fishing industry and for being heavily affected by the 2011 Tōhoku earthquake and tsunami.
-
B.
豊郷町
豊郷町は、滋賀県犬上郡に位置し、アニメ『けいおん!』の舞台モデルとして知られる小さな町です。
-
C.
瑞穂町
瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
-
D.
Ichinoseki, Iwate
Ichinoseki, Iwate is a city in southern Iwate Prefecture, Japan, known as a regional hub with historical sites and access to scenic areas such as the Geibi Gorge.
-
E.
Matsudo
Matsudo is a city in Chiba Prefecture, Japan, located in the Greater Tokyo Area and functioning largely as a residential and commercial suburb of Tokyo.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d82297c81909f720e2637cec737 |
completed | April 20, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d407b0c819090e6d66430db4a39 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053df532c48190b153dd9f790f1cc8 |
completed | May 14, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0541e2d4008190a8beb79812ccf485 |
completed | May 14, 2026, 3:30 a.m. |
Created at: April 10, 2026, 11:52 a.m.