Triple
T34049739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwichtown Green |
E873185
|
entity |
| Predicate | roadBorder |
P67275
|
FINISHED |
| Object | Town Street |
—
|
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: Town Street | Statement: [Norwichtown Green, roadBorder, Town Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadBorder Context triple: [Norwichtown Green, roadBorder, Town Street]
-
A.
hasRoadBoundary
chosen
Indicates that a road segment is associated with a specific boundary or edge that defines its lateral limits.
-
B.
roadSide
Indicates that one entity is located along, beside, or immediately adjacent to a road.
-
C.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
D.
fareBoundaryBetween
Indicates that there is a dividing line or zone where one fare region, zone, or pricing scheme ends and another begins.
-
E.
roadWidth
Indicates the measured breadth or distance across a road, typically from one edge or curb to the opposite edge or curb.
- 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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.