Triple
T11207545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fillmore Street |
E265209
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Japantown |
E405786
|
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: Japantown | Statement: [Fillmore Street, passesThrough, Japantown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japantown Context triple: [Fillmore Street, passesThrough, Japantown]
-
A.
Japantown
Japantown is a historic Japanese-American neighborhood known for its cultural businesses, restaurants, and community institutions.
-
B.
Japantown, San Francisco
chosen
Japantown, San Francisco is a historic Japanese-American neighborhood known for its cultural festivals, shops, restaurants, and the Japan Center complex.
-
C.
Sawtelle Japantown
Sawtelle Japantown is a vibrant West Los Angeles neighborhood known for its Japanese American heritage, bustling eateries, and specialty shops.
-
D.
Kobe Chinatown
Kobe Chinatown is a compact, bustling Chinese district in central Kobe, Japan, known for its vibrant streets, food stalls, and cultural festivals.
-
E.
China Town
China Town was the original name of the Nevada settlement that later became the town of Dayton.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d5f8908190903817f84c629ba1 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4973a1b288190bacdf56f8d4977bd |
completed | April 19, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:30 p.m.