Triple
T12375261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibaura Pier |
E295105
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Shibaura Futo |
E295109
|
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: Shibaura Futo | Statement: [Shibaura Pier, hasNameInLanguage, Shibaura Futo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shibaura Futo Context triple: [Shibaura Pier, hasNameInLanguage, Shibaura Futo]
-
A.
Shibaura Futo
chosen
Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
-
B.
Nisshin
Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
-
C.
Keiō
Keiō was the final Japanese era of the Edo period, spanning the turbulent years leading up to the Meiji Restoration.
-
D.
Keihō
Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
-
E.
Mizumoto
Mizumoto is a neighborhood in Tokyo’s Katsushika ward, known for its large riverside Mizumoto Park and relatively green, residential environment.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac1e82c8190abb46ca5799e6680 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.