Triple
T25942909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamatogawa |
E653754
|
entity |
| Predicate | Yamatogawa StationLocatedIn |
P159848
|
FINISHED |
| Object | Sakai, Osaka Prefecture |
—
|
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: Sakai, Osaka Prefecture | Statement: [Yamatogawa, Yamatogawa StationLocatedIn, Sakai, Osaka Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Yamatogawa StationLocatedIn Context triple: [Yamatogawa, Yamatogawa StationLocatedIn, Sakai, Osaka Prefecture]
-
A.
Yamatogawa StationLocatedOn
Indicates that Yamatogawa Station is situated on or along a specific transportation line, route, or infrastructure.
-
B.
distanceFromYamagataStation
Indicates the spatial distance between a given place and Yamagata Station.
-
C.
adjacentStationOnSubwaySeishinYamateLine
Indicates that two stations are directly next to each other on the Seishin-Yamate subway line, with no other stations in between.
-
D.
stationNumberOnYamanoteLine
Indicates the position or sequence number that a given station holds along the Yamanote Line.
-
E.
adjacentStationOnYamanoteLine
Indicates that one station is directly next to another station along the Yamanote Line, with no other stations in between.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6046115b88190aa9011f53a54cddc |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 8:41 a.m.