Triple
T4788533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanshin Namba Line |
E106543
|
entity |
| Predicate | extendedToOsakaNamba |
P49342
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Hanshin Namba Line, extendedToOsakaNamba, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendedToOsakaNamba Context triple: [Hanshin Namba Line, extendedToOsakaNamba, 2009]
-
A.
distanceFromOsaka
Indicates the measured distance between a given place or object and the city of Osaka.
-
B.
adjacentStationOnOsakaLoopLine
Indicates that one station is directly next to another station along the Osaka Loop railway line, with no other stations in between.
-
C.
terminusOnHonshu
Indicates that the endpoint or terminus of something (such as a route, line, or connection) is located on the island of Honshu.
-
D.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
-
E.
extendedIn
chosen
Indicates that one entity continues, prolongs, or expands the scope, duration, or range of another entity.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65db847081908f5456724a2bdc65 |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.