Triple
T27408391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mishima Station |
E692072
|
entity |
| Predicate | adjacentStationOnSunzuLine |
P173219
|
FINISHED |
| Object | Mishima-Tamachi 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: Mishima-Tamachi Station | Statement: [Mishima Station, adjacentStationOnSunzuLine, Mishima-Tamachi Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnSunzuLine Context triple: [Mishima Station, adjacentStationOnSunzuLine, Mishima-Tamachi Station]
-
A.
adjacentStationOnLine
Indicates that one station is directly next to another station along the same transit line, with no other station in between.
-
B.
adjacentStationOnLineD
Indicates that one station is directly next to another station along line D, with no other stations in between on that line.
-
C.
adjacentStationOnSaikyoLine
Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
-
D.
adjacentStationOnLine2
Indicates that one station is directly next to another station along line 2 in a transit or rail network.
-
E.
adjacentStationOnLine12
Indicates that one station is directly next to another station along transit line 12, with no other stations in between on that 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 27, 2026, 12:31 p.m.