Triple
T23266831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-5 motorway |
E588172
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object | A-5 |
—
|
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: A-5 | Statement: [A-5 motorway, roadNumber, A-5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A-5 Context triple: [A-5 motorway, roadNumber, A-5]
-
A.
A-5
chosen
A-5 is a major Spanish motorway that connects Madrid with the western regions of the country toward Extremadura and the Portuguese border.
-
B.
A-4
A-4 is the station code assigned to the Imielin metro station in the Warsaw Metro system.
-
C.
A-4
A-4 is a major European motorway designation used for important intercity and international road routes in several countries.
-
D.
A5
A5 is a major Italian motorway connecting the city of Turin with the Aosta Valley and the Mont Blanc Tunnel at the French border.
-
E.
A5
A5 is a major Swiss motorway that connects key regions in the northwest of the country, facilitating traffic between cities such as Solothurn, Biel/Bienne, and Neuchâtel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f194cd13b48190a9c282545a34f348 |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:37 p.m.