Triple
T36064783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hana region |
E1043190
|
entity |
| Predicate | roadTypeToRegion |
P184538
|
FINISHED |
| Object | narrow winding road |
—
|
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: narrow winding road | Statement: [Hana region, roadTypeToRegion, narrow winding road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadTypeToRegion Context triple: [Hana region, roadTypeToRegion, narrow winding road]
-
A.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
-
B.
roadTypeAtSquare
Indicates the specific type or classification of road present at a given square or location in a spatial grid or map.
-
C.
roadConnectionRegion
Indicates that a road provides a direct transportation connection between two regions.
-
D.
roadNumberType
Indicates the classification or type category assigned to a road’s identifying number (e.g., highway, route, local road).
-
E.
routeRegion
Indicates that a route is located within, passes through, or is associated with a particular geographic region.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:08 p.m.