Triple
T11742284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamasaki |
E279184
|
entity |
| Predicate | canBeRomanizedAs |
P2508
|
FINISHED |
| Object | Yamasaki |
E279184
|
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: Yamasaki | Statement: [Yamasaki, canBeRomanizedAs, Yamasaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamasaki Context triple: [Yamasaki, canBeRomanizedAs, Yamasaki]
-
A.
Yamasaki
chosen
Yamasaki is a Japanese surname most notably associated with architect Minoru Yamasaki, designer of the original World Trade Center in New York City.
-
B.
Fumihiko
Fumihiko is a Japanese given name most notably borne by the renowned architect Fumihiko Maki.
-
C.
Tange
Tange is a Japanese surname most famously associated with Kenzo Tange, the influential modernist architect and Pritzker Prize laureate.
-
D.
Teshima
Teshima is a small Japanese island in the Seto Inland Sea known for its contemporary art installations, scenic landscapes, and role in the Setouchi Triennale art festival.
-
E.
Kuroda
Kuroda is a Japanese surname borne by various notable figures in politics, the arts, and other fields.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f191388190bd6ef7e80c41ca48 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019d331888190866bdd04f6c73e08 |
completed | April 28, 2026, 2:22 a.m. |
Created at: April 8, 2026, 9:41 p.m.