Triple
T17833319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamagawa district |
E445316
|
entity |
| Predicate | hasPostalSystem |
P14969
|
FINISHED |
| Object | Japan Post |
—
|
NE NERFINISHED |
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: Japan Post | Statement: [Tamagawa district, hasPostalSystem, Japan Post]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japan Post Context triple: [Tamagawa district, hasPostalSystem, Japan Post]
-
A.
Japan Post
chosen
Japan Post is Japan’s national postal service operator, providing mail delivery, logistics, and related financial services across the country.
-
B.
Nihon Sekkei
Nihon Sekkei is a major Japanese architectural and urban design firm known for large-scale commercial and mixed-use developments.
-
C.
Nihon Mingeikan
Nihon Mingeikan is a Tokyo museum dedicated to Japanese folk crafts, showcasing everyday handmade objects central to the mingei (folk art) movement.
-
D.
Japan Center
Japan Center is a prominent Japanese-themed shopping and cultural complex in San Francisco’s Japantown, featuring restaurants, shops, and community events.
-
E.
Nisshin
Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2635a081909d4d48d22e260f8e |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.