Triple
T11599080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otsuka Station |
E275078
|
entity |
| Predicate | hasSouthExit |
P100539
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Otsuka Station, hasSouthExit, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSouthExit Context triple: [Otsuka Station, hasSouthExit, yes]
-
A.
hasNearbyExit
Indicates that one entity has an exit located close to it in space or distance.
-
B.
exitsThrough
Indicates that an entity leaves or departs from a place, structure, or area by passing through a specified exit or passage.
-
C.
hasSouthernTerminus
Indicates that one entity serves as the southern endpoint or terminus of another entity, such as a route, line, or path.
-
D.
hasExitFor
Indicates that something provides or includes a specific exit intended for a particular destination, purpose, or user.
-
E.
hasNumberOfExits
Indicates the relationship that specifies how many exits are associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954c3c248190bcccd4c7ff667b3a |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.