Triple
T17468956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukui Prefecture |
E425352
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Awara City
Awara City is a coastal municipality in central Japan renowned for its hot spring resorts and scenic rural landscapes.
|
E1271330
|
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: Awara City | Statement: [Fukui Prefecture, contains, Awara City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awara City Context triple: [Fukui Prefecture, contains, Awara City]
-
A.
Tendo City
Tendo City is a municipality in northeastern Japan known for its production of shogi (Japanese chess) pieces and hot spring resorts.
-
B.
Awa City
Awa City is a municipality located in Tokushima Prefecture on Japan’s Shikoku Island, known for its rural landscapes and traditional regional culture.
-
C.
Uji City
Uji City is a historic city in Kyoto Prefecture, Japan, renowned for its high-quality green tea production and UNESCO-listed Byōdō-in Temple.
-
D.
Toda City
Toda City is a municipality in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town within the Greater Tokyo metropolitan area.
-
E.
Nanyo City
Nanyo City is a municipality in northeastern Japan known for its hot springs, fruit production, and scenic rural landscapes.
- 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: Awara City Triple: [Fukui Prefecture, contains, Awara City]
Generated description
Awara City is a coastal municipality in central Japan renowned for its hot spring resorts and scenic rural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Awara City Target entity description: Awara City is a coastal municipality in central Japan renowned for its hot spring resorts and scenic rural landscapes.
-
A.
Tendo City
Tendo City is a municipality in northeastern Japan known for its production of shogi (Japanese chess) pieces and hot spring resorts.
-
B.
Awa City
Awa City is a municipality located in Tokushima Prefecture on Japan’s Shikoku Island, known for its rural landscapes and traditional regional culture.
-
C.
Uji City
Uji City is a historic city in Kyoto Prefecture, Japan, renowned for its high-quality green tea production and UNESCO-listed Byōdō-in Temple.
-
D.
Toda City
Toda City is a municipality in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town within the Greater Tokyo metropolitan area.
-
E.
Nanyo City
Nanyo City is a municipality in northeastern Japan known for its hot springs, fruit production, and scenic rural landscapes.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451aa0e1c81909627369465575c06 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b827bad4819083e1814183fe24a1 |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01bca7ce18819085b00fe298b89492 |
completed | May 11, 2026, 11:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01bd3d64048190bb7e3acf2b460128 |
completed | May 11, 2026, 11:27 a.m. |
Created at: April 10, 2026, 5:47 a.m.