Triple
T21715655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JS21 |
E536020
|
entity |
| Predicate | identifiesStationWithinLine |
P145062
|
FINISHED |
| Object | Saikyo 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: Saikyo Line | Statement: [JS21, identifiesStationWithinLine, Saikyo Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identifiesStationWithinLine Context triple: [JS21, identifiesStationWithinLine, Saikyo Line]
-
A.
isBetweenStationsOnLine
Indicates that something is located or occurs between two stations along the same transit line.
-
B.
hasAdjacentStationOnLine 2
Indicates that one station is directly next to another station along Line 2 in the network.
-
C.
hasAdjacentStationOnLine 5
Indicates that one station is directly next to another station along line 5, with no other stations in between on that line.
-
D.
hasAdjacentStationOnCentralLine
Indicates that one station is directly next to another station along the Central Line.
-
E.
adjacentStationOnSilverLine
Indicates that one station is directly next to another station along the Silver 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:47 p.m.