Triple
T27208046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minami (Namba) district |
E683922
|
entity |
| Predicate | hasOsakaMetroLine |
P17559
|
FINISHED |
| Object | Sennichimae Line |
—
|
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: Sennichimae Line | Statement: [Minami (Namba) district, hasOsakaMetroLine, Sennichimae Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOsakaMetroLine Context triple: [Minami (Namba) district, hasOsakaMetroLine, Sennichimae Line]
-
A.
hasMetroLine
chosen
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
B.
isOnAutomatedMetroLine
Indicates that something (typically a metro station, segment, or service) belongs to or operates on a metro line that runs with automated (driverless or semi-driverless) train control.
-
C.
stationNumberOnOsakaLoopLine
Indicates the ordinal station number assigned to a station along the Osaka Loop Line.
-
D.
isFirstMetroLineInCity
Indicates that a metro line is the earliest or original metro line established in a given city.
-
E.
hasMetroLineConfiguration
Indicates the specific structural or operational setup in which a metro line is arranged or organized.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 9:38 a.m.