Triple
T35151301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yutenji |
E1014999
|
entity |
| Predicate | accessFromCentralTokyo |
P125473
|
FINISHED |
| Object | by Tokyu Toyoko Line |
—
|
LITERAL 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: by Tokyu Toyoko Line | Statement: [Yutenji, accessFromCentralTokyo, by Tokyu Toyoko Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessFromCentralTokyo Context triple: [Yutenji, accessFromCentralTokyo, by Tokyu Toyoko Line]
-
A.
centralAirportForTokyo
Indicates that the referenced airport serves as the primary or main hub airport for the Tokyo metropolitan area.
-
B.
locatedInDirectionFromTokyo
Indicates that one place is situated in a specified compass direction relative to Tokyo.
-
C.
isInCentralJapan
Indicates that something is located within the central region of Japan.
-
D.
accessFromCity
chosen
Indicates that there is a way to reach or enter a place starting from a specified city.
-
E.
TokyoMetroSection
Indicates a relationship where a specific segment or portion of the Tokyo Metro railway network is identified as a distinct section within the system.
- F. None of above.
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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.