Triple
T399823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Bay |
E9254
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Sakai |
E8407
|
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: Sakai | Statement: [Osaka Bay, borderedBy, Sakai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakai Context triple: [Osaka Bay, borderedBy, Sakai]
-
A.
Sakai
chosen
Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
-
B.
Kaisei Academy
Kaisei Academy is a prestigious Japanese boys' secondary school in Tokyo known for its rigorous academics and history of producing many prominent political and intellectual leaders.
-
C.
Langway
Langway is the surname of Rod Langway, a Hall of Fame National Hockey League defenseman known for his defensive prowess with the Washington Capitals.
-
D.
Kapor
Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
-
E.
Komaba Campus
Komaba Campus is a major campus of the University of Tokyo, known for hosting the College of Arts and Sciences and many first- and second-year undergraduate programs.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8e655c819081eff85c0ef55fa5 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4103f9f588190aabdf7f5d6422d09 |
completed | March 1, 2026, 10:09 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.