Triple
T13160278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morlaix |
E312704
|
entity |
| Predicate | hasNearbyAirport |
P4363
|
FINISHED |
| Object | Brest Bretagne Airport |
E286280
|
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: Brest Bretagne Airport | Statement: [Morlaix, hasNearbyAirport, Brest Bretagne Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brest Bretagne Airport Context triple: [Morlaix, hasNearbyAirport, Brest Bretagne Airport]
-
A.
Brest Bretagne Airport
chosen
Brest Bretagne Airport is the main international airport serving the city of Brest and the surrounding Brittany region in northwestern France.
-
B.
Rennes–Saint-Jacques Airport
Rennes–Saint-Jacques Airport is the main commercial airport serving the city of Rennes and the surrounding region in Brittany, France.
-
C.
Lorient South Brittany Airport
Lorient South Brittany Airport is a regional airport in Brittany, France, serving the city of Lorient with domestic and limited international flights.
-
D.
Nantes Atlantique Airport
Nantes Atlantique Airport is the main international airport serving the city of Nantes and the surrounding western France region.
-
E.
Bourges Airport
Bourges Airport is a regional public airport serving the city of Bourges in central France, handling general aviation and limited commercial traffic.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf2ae688190b3484989791977ce |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:12 p.m.