Triple
T14972426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama River |
E373354
|
entity |
| Predicate | cityAlongRiver |
P17819
|
FINISHED |
| Object | Chōfu, Tokyo |
—
|
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: Chōfu, Tokyo | Statement: [Tama River, cityAlongRiver, Chōfu, Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chōfu, Tokyo Context triple: [Tama River, cityAlongRiver, Chōfu, Tokyo]
-
A.
Chofu, Tokyo
chosen
Chofu, Tokyo is a suburban city in western Tokyo known for its residential neighborhoods, film and animation studios, and Chofu Airport.
-
B.
Musashino, Tokyo
Musashino, Tokyo is a suburban city in western Tokyo Metropolis known for its residential neighborhoods, parks, and several universities and cultural institutions.
-
C.
Hachioji, Tokyo
Hachioji, Tokyo is a major suburban city in western Tokyo known for its residential areas, universities, and proximity to Mount Takao.
-
D.
Koganei, Tokyo
Koganei, Tokyo is a suburban city in western Tokyo Metropolis known for its residential neighborhoods, parks, and the renowned Edo-Tokyo Open Air Architectural Museum in Koganei Park.
-
E.
Chōfu
Chōfu is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, film studios, and proximity to central Tokyo.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e767608190940eb6f16ea97451 |
completed | April 15, 2026, 12:08 a.m. |
Created at: April 10, 2026, 2:50 a.m.