Triple
T17758748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama City |
E443311
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Machida |
—
|
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: Machida | Statement: [Tama City, neighboringMunicipality, Machida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machida Context triple: [Tama City, neighboringMunicipality, Machida]
-
A.
Machida
Machida is a suburban city in the southwestern part of Tokyo, Japan, known as a residential and commercial hub with convenient rail connections into central Tokyo.
-
B.
Matsuda
Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
-
C.
Kawaguchi
Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
-
D.
Machida City
chosen
Machida City is a suburban municipality in western Tokyo, Japan, known for its large residential areas, commercial centers, and role as part of the greater Tokyo metropolitan region.
-
E.
Kanamachi
Kanamachi is a neighborhood in Tokyo known as a residential and commercial area within the Katsushika ward.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48420ad188190aeb0f4ec1d23ee5c |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.