Triple
T30833329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hooghkamer |
E785285
|
entity |
| Predicate | hasRoadInfrastructureType |
P74765
|
FINISHED |
| Object | local streets |
—
|
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: local streets | Statement: [Hooghkamer, hasRoadInfrastructureType, local streets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadInfrastructureType Context triple: [Hooghkamer, hasRoadInfrastructureType, local streets]
-
A.
hasRoadNetworkType
chosen
Indicates the type or classification of road network associated with or present in an entity.
-
B.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
C.
hasRoads
Indicates that there exist constructed road connections linking the related entities.
-
D.
hasRoadComponent
Indicates that something includes, contains, or is composed of a specific road-related part or element.
-
E.
mainRoadInfrastructure
Indicates that a road segment functions as a primary or major route within the transportation infrastructure network.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 29, 2026, 8:44 p.m.