Triple
T25942908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamatogawa |
E653754
|
entity |
| Predicate | Yamatogawa StationLocatedOn |
P159586
|
FINISHED |
| Object | Nankai Main 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: Nankai Main Line | Statement: [Yamatogawa, Yamatogawa StationLocatedOn, Nankai Main Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Yamatogawa StationLocatedOn Context triple: [Yamatogawa, Yamatogawa StationLocatedOn, Nankai Main Line]
-
A.
adjacentStationOnSubwaySeishinYamateLine
Indicates that two stations are directly next to each other on the Seishin-Yamate subway line, with no other stations in between.
-
B.
stationNumberOnYamanoteLine
Indicates the position or sequence number that a given station holds along the Yamanote Line.
-
C.
adjacentStationOnYokohamaLine
Indicates that one station is directly next to another station along the Yokohama Line, with no other stations in between.
-
D.
adjacentStationOnYurikamomeLine
Indicates that one station is directly next to another station along the Yurikamome railway line, with no other stations in between.
-
E.
adjacentToStationOnChiyodaLine
Indicates that one entity is directly next to or neighboring a station located on the Chiyoda railway line.
- 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_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:41 a.m.