Triple
T2529845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Sakai-Semboku |
E56130
|
entity |
| Predicate | locatedInCity |
P40
|
FINISHED |
| Object |
Semboku
Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
|
E482317
|
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: Semboku | Statement: [Port of Sakai-Semboku, locatedInCity, Semboku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semboku Context triple: [Port of Sakai-Semboku, locatedInCity, Semboku]
-
A.
Izumisano
Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
-
B.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
C.
Koshigaya
Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
-
D.
Kyotanabe
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
-
E.
Higashimurayama
Higashimurayama is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and role as part of the Tama area’s commuter belt.
- 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: Semboku Triple: [Port of Sakai-Semboku, locatedInCity, Semboku]
Generated description
Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semboku Target entity description: Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
-
A.
Izumisano
Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
-
B.
Maishima
Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
-
C.
Koshigaya
Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
-
D.
Kyotanabe
Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
-
E.
Higashimurayama
Higashimurayama is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and role as part of the Tama area’s commuter belt.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd276930c8190bd46b52e06b7098e |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8195518081908f4938032218e118 |
completed | March 21, 2026, 11:31 a.m. |
| NEDg | Description generation | batch_69be840882a081909e320c76d41219cc |
completed | March 21, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8464bb00819086a70be3a5746d7c |
completed | March 21, 2026, 11:43 a.m. |
Created at: March 6, 2026, 9:46 p.m.