Triple
T34459017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irohazaka Winding Road |
E884581
|
entity |
| Predicate | First IrohazakaDirection |
P205439
|
FINISHED |
| Object | uphill |
—
|
LITERAL FINISHED |
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: uphill | Statement: [Irohazaka Winding Road, First IrohazakaDirection, uphill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: First IrohazakaDirection Context triple: [Irohazaka Winding Road, First IrohazakaDirection, uphill]
-
A.
Second IrohazakaDirection
Indicates the directional orientation or travel direction associated with the Second Irohazaka route or segment.
-
B.
sequenceOnTōkaidō
Indicates that one entity occurs at a specific position or order along the Tōkaidō route or sequence.
-
C.
adjacentStationTowardsWakoshi
Indicates that one station is directly next to another in the direction toward Wakoshi.
-
D.
connectsToLineAtKawagoe
Indicates that one entity (such as a route or service) has a connection or transfer point to a specific line at Kawagoe station.
-
E.
ichinomiya
Indicates a relationship where a location or institution holds the status of "Ichinomiya," the primary or highest-ranking Shinto shrine of a historical province.
- 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2 a.m.