Triple
T19578718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knooppunt De Nieuwe Meer |
E489927
|
entity |
| Predicate | isPartOfRingRoadSection |
P49683
|
FINISHED |
| Object | southwestern section of A10 |
—
|
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: southwestern section of A10 | Statement: [Knooppunt De Nieuwe Meer, isPartOfRingRoadSection, southwestern section of A10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfRingRoadSection Context triple: [Knooppunt De Nieuwe Meer, isPartOfRingRoadSection, southwestern section of A10]
-
A.
hasRingRoadRole
Indicates that an entity has a specific functional role or responsibility in relation to a ring road.
-
B.
hasRingRoadLengthApproxKm
Indicates that an entity has a ring road whose length is approximately a specified number of kilometers.
-
C.
primaryRingRoad
Indicates that a road functions as the main circumferential or loop route encircling or bypassing a central area in a transport network.
-
D.
isOnOrbitalMotorway
chosen
Indicates that one entity (typically a route or segment) lies on or forms part of an orbital motorway that encircles a city or area.
-
E.
roadNetworkPartOf
Indicates that one road network segment or component is a constituent part of a larger road 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402693d88190a828c0e136895783 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:42 p.m.