Triple
T6030899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunken Road |
E134298
|
entity |
| Predicate | frontage |
P1699
|
FINISHED |
| Object | overlooks open farm fields to the north |
—
|
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: overlooks open farm fields to the north | Statement: [Sunken Road, frontage, overlooks open farm fields to the north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontage Context triple: [Sunken Road, frontage, overlooks open farm fields to the north]
-
A.
frontageMaterial
Indicates the material used on the exterior front-facing surface of a structure or property.
-
B.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
-
C.
front
chosen
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
D.
frontOf
Indicates that one entity is positioned directly before another along a primary viewing or movement direction.
-
E.
frontSector
Indicates that one entity is located in the forward-facing sector or region relative to another entity.
- F. None of above.
Provenance (3 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056af89e881909652957f94317684 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.