Triple
T34459018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irohazaka Winding Road |
E884581
|
entity |
| Predicate | Second IrohazakaDirection |
P198947
|
FINISHED |
| Object | downhill |
—
|
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: downhill | Statement: [Irohazaka Winding Road, Second IrohazakaDirection, downhill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Second IrohazakaDirection Context triple: [Irohazaka Winding Road, Second IrohazakaDirection, downhill]
-
A.
adjacentStationTowardsWakoshi
Indicates that one station is directly next to another in the direction toward Wakoshi.
-
B.
adjacentStationTowardsShibuya
Indicates that one station is directly next to another in the direction of Shibuya along a railway line.
-
C.
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.
-
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.
OkamaLocation
Indicates that a location is associated with or designated for okama (cross-dressing or gender-nonconforming) individuals or culture.
- 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_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
| PDg | Predicate description generation | batch_69ff167608f08190b7cd2cf65ddecbf3 |
completed | May 9, 2026, 11:11 a.m. |
Created at: May 1, 2026, 2 a.m.