Triple
T30657632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narita Station |
E780427
|
entity |
| Predicate | adjacentStationOnNaritaLine |
P179946
|
FINISHED |
| Object | Kuzumi Station |
—
|
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: Kuzumi Station | Statement: [Narita Station, adjacentStationOnNaritaLine, Kuzumi Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnNaritaLine Context triple: [Narita Station, adjacentStationOnNaritaLine, Kuzumi Station]
-
A.
adjacentStationOnYamanoteLine
Indicates that one station is directly next to another station along the Yamanote Line, with no other stations in between.
-
B.
adjacentStationOnJRTōzaiLine
Indicates that one station is directly next to another station along the JR Tōzai Line, with no other stations in between.
-
C.
adjacentStationOnTokyuToyokoLine
Indicates that one station is directly next to another station along the Tokyu Toyoko railway line.
-
D.
adjacentStationOnMusashinoLine
Indicates that one station is directly next to another station along the Musashino railway line.
-
E.
adjacentStationOnTanimachiLine
Indicates that one station is directly next to another station along the Tanimachi subway 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: April 29, 2026, 8:30 p.m.