Triple
T21364984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amemura |
E526885
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
America-mura
America-mura is a trendy youth-oriented district in Osaka, Japan, known for its American-influenced fashion, street culture, and vibrant nightlife.
|
E1480318
|
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: America-mura | Statement: [Amemura, alsoKnownAs, America-mura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: America-mura Context triple: [Amemura, alsoKnownAs, America-mura]
-
A.
L’America
L’America is a song by the Doors from their 1971 album "L.A. Woman," noted for its dark, atmospheric sound and themes of alienation.
-
B.
Amer
Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
-
C.
Amer
The Amer is a river in the southern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and is known for flowing through the Biesbosch National Park.
-
D.
Amer
Amer is a historic town near Jaipur in Rajasthan, India, best known for the hilltop Amer Fort, a major example of Rajput architecture and a UNESCO World Heritage Site.
-
E.
D’Amérique
D’Amérique is a modernist artwork by French avant-garde artist Francis Picabia, reflecting his experimental approach within the Dada and early abstract movements.
- 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: America-mura Triple: [Amemura, alsoKnownAs, America-mura]
Generated description
America-mura is a trendy youth-oriented district in Osaka, Japan, known for its American-influenced fashion, street culture, and vibrant nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: America-mura Target entity description: America-mura is a trendy youth-oriented district in Osaka, Japan, known for its American-influenced fashion, street culture, and vibrant nightlife.
-
A.
L’America
L’America is a song by the Doors from their 1971 album "L.A. Woman," noted for its dark, atmospheric sound and themes of alienation.
-
B.
Amer
Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
-
C.
Amer
The Amer is a river in the southern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and is known for flowing through the Biesbosch National Park.
-
D.
Amer
Amer is a historic town near Jaipur in Rajasthan, India, best known for the hilltop Amer Fort, a major example of Rajput architecture and a UNESCO World Heritage Site.
-
E.
D’Amérique
D’Amérique is a modernist artwork by French avant-garde artist Francis Picabia, reflecting his experimental approach within the Dada and early abstract movements.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06e1ba081908a96928a65da5fa2 |
completed | April 22, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad6be0708190811bb7a10b1b7756 |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09ae3744588190877e88dd38a80ebd |
completed | May 17, 2026, 12:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09af2184808190b42b5073e90bd83d |
completed | May 17, 2026, 12:05 p.m. |
Created at: April 16, 2026, 5:09 p.m.