Triple
T12143500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chūō-ku, Osaka |
E289252
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Amerikamura |
E107459
|
NE FINISHED |
How this triple was built (2 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: Amerikamura | Statement: [Chūō-ku, Osaka, contains, Amerikamura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amerikamura Context triple: [Chūō-ku, Osaka, contains, Amerikamura]
-
A.
Amerikamura
chosen
Amerikamura is a trendy youth-oriented district in Osaka known for its American-influenced fashion, street culture, and vibrant nightlife.
-
B.
Munchi
Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
-
C.
The American
The American is a historical novel by Howard Fast that dramatizes the life and political struggles of labor leader William "Big Bill" Haywood in early 20th-century America.
-
D.
The American
The American is a 2010 suspense drama film directed by Anton Corbijn, starring George Clooney as an assassin hiding out in Italy while preparing for one final assignment.
-
E.
Takadanobaba
Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915aacaa08190b31f54e230334406 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.