Triple
T33810257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badhoevedorp interchange |
E866510
|
entity |
| Predicate | roadNumberA4Direction |
P177842
|
FINISHED |
| Object | The Hague |
—
|
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: The Hague | Statement: [Badhoevedorp interchange, roadNumberA4Direction, The Hague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNumberA4Direction Context triple: [Badhoevedorp interchange, roadNumberA4Direction, The Hague]
-
A.
roadNumberA10Direction
Indicates the direction associated with road number A10 in a given road or traffic context.
-
B.
routeDirectionA
Indicates the primary or first directional orientation or heading associated with a specific route.
-
C.
roadNumberIncludes
Indicates that a road’s identifier or designation contains the specified number or numeric sequence.
-
D.
roadNumberType
Indicates the classification or type category assigned to a road’s identifying number (e.g., highway, route, local road).
-
E.
routeNumber
Indicates the specific identifying number assigned to a route within a transportation or delivery 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:46 a.m.