Triple
T19180516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatagaya Station |
E469558
|
entity |
| Predicate | servesLine |
P839
|
FINISHED |
| Object | Keio New Line |
—
|
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: Keio New Line | Statement: [Hatagaya Station, servesLine, Keio New Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keio New Line Context triple: [Hatagaya Station, servesLine, Keio New Line]
-
A.
Keio New Line
chosen
Keio New Line is a commuter railway line in Tokyo, Japan, operated by Keio Corporation as part of the Keio network serving western suburbs of the city.
-
B.
Kashio Seisakujo
Kashio Seisakujo was the original small Japanese manufacturing workshop founded by the Kashio brothers that evolved into the global electronics company Casio.
-
C.
Keio University Mita Campus
Keio University Mita Campus is the historic main campus of Keio University in Tokyo, Japan, known for its central role in the university’s academic and administrative activities.
-
D.
Seikei Gakuen
Seikei Gakuen is a Japanese educational foundation that manages a network of schools and institutions, including Seikei University, in Tokyo.
-
E.
Ochanomizu
Ochanomizu is a central Tokyo district known for its universities, musical instrument shops, and historic temples along the Kanda River.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61be86c81908710341262e911cd |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.