Triple
T23943514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamamatsuchō |
E602853
|
entity |
| Predicate | hasMonorailStation |
P86500
|
FINISHED |
| Object | Hamamatsuchō Station |
—
|
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: Hamamatsuchō Station | Statement: [Hamamatsuchō, hasMonorailStation, Hamamatsuchō Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonorailStation Context triple: [Hamamatsuchō, hasMonorailStation, Hamamatsuchō Station]
-
A.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
B.
monorailLines
chosen
Indicates that there is a monorail transit line or system associated with, serving, or present in the referenced entity.
-
C.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
D.
hasSubwayStationEntrance
Indicates that one entity serves as an entrance or access point to a subway station associated with another entity.
-
E.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02bf38081909c99b98e04a8d2aa |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:10 p.m.