Triple
T9262644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosslare Europort |
E222615
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | N11 road |
E502893
|
NE 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: N11 road | Statement: [Rosslare Europort, hasTransportConnection, N11 road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N11 road Context triple: [Rosslare Europort, hasTransportConnection, N11 road]
-
A.
N11 road
chosen
The N11 road is a major national primary route in Ireland that connects Dublin to Wexford, serving numerous suburbs and towns along the east coast.
-
B.
N11 road
The N11 road is a major Dutch highway connecting the cities of Leiden and Bodegraven, serving as an important regional link in South Holland.
-
C.
N10 road
The N10 road is a major French national highway that runs southwest from the Paris region toward Bordeaux, serving as an important long-distance route through western France.
-
D.
N10 road
The N10 road is a national secondary route in Ireland that connects the M9 motorway to the city of Kilkenny.
-
E.
N13 road
The N13 road is a major national highway in northwestern France that connects key towns in Normandy and serves as an important route between Caen and Cherbourg.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07189bc48190987315bd5d3ce4f1 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1820133348190a25ba1ab3fc7359d |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:32 p.m.