Triple
T23071151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Nador |
E575196
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Motril |
—
|
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: Motril | Statement: [Port of Nador, connectsTo, Motril]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motril Context triple: [Port of Nador, connectsTo, Motril]
-
A.
Motril
chosen
Motril is a coastal city in the province of Granada, Spain, known for its subtropical climate, agriculture, and port on the Mediterranean Sea.
-
B.
Conil
Conil is a small village on the island of Lanzarote in Spain’s Canary Islands, forming part of the municipality of Tías.
-
C.
Conil de la Frontera
Conil de la Frontera is a traditional Andalusian coastal town in southern Spain known for its long sandy beaches, whitewashed houses, and relaxed seaside atmosphere.
-
D.
Salobreña
Salobreña is a picturesque coastal town on Spain’s Costa Tropical, known for its whitewashed hillside houses and hilltop Moorish castle overlooking the Mediterranean Sea.
-
E.
Teguise
Teguise is a historic town and municipality on the island of Lanzarote in Spain’s Canary Islands, known for its well-preserved architecture and popular Sunday market.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c5f17348190ab92cfdae9bcaeba |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.