Triple
T37249875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yurakucho Station |
E923959
|
entity |
| Predicate | hasTokyoMetroStationNumber |
P95305
|
FINISHED |
| Object | Y18 |
—
|
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: Y18 | Statement: [Yurakucho Station, hasTokyoMetroStationNumber, Y18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTokyoMetroStationNumber Context triple: [Yurakucho Station, hasTokyoMetroStationNumber, Y18]
-
A.
TokyuStationNumber
Indicates that an entity is assigned a specific station number within the Tokyu railway network.
-
B.
TokyoMetroStationNumber
chosen
Indicates that an entity is assigned a specific official station number within the Tokyo Metro railway network.
-
C.
ToeiSubwayStationNumber
Indicates the identification number assigned to a station within the Toei Subway system.
-
D.
stationNumberOnKeikyuMainLine
Indicates the station’s ordinal position or identification number along the Keikyu Main Line.
-
E.
stationNumberOnKeioInokashiraLine
Indicates the station’s position or sequence number along the Keio Inokashira railway line.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 3, 2026, 4:15 p.m.