Triple
T34252607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norfolk road network |
E878789
|
entity |
| Predicate | hasTrunkRoad |
P199915
|
FINISHED |
| Object | A11 road |
—
|
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: A11 road | Statement: [Norfolk road network, hasTrunkRoad, A11 road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrunkRoad Context triple: [Norfolk road network, hasTrunkRoad, A11 road]
-
A.
hasTrunk
Indicates that one entity possesses or is equipped with a trunk as a physical feature or component.
-
B.
isOnTrunkLine
Indicates that something is located on, or directly connected to, a primary or main trunk line within a network or system.
-
C.
isPartlyTrunkRoad
Indicates that a road segment is partially classified or functions as a trunk road for some portion of its length or role.
-
D.
hasSideTrails
Indicates that a main path or route is accompanied by additional, smaller trails branching off from it.
-
E.
openedAsTrunkRoad
Indicates that a road was originally opened or designated for use as a main trunk road in the highway network.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
| PDg | Predicate description generation | batch_69ff63e5c35081908f69ac44e12b8f52 |
completed | May 9, 2026, 4:42 p.m. |
Created at: May 1, 2026, 1:56 a.m.