Triple
T9290510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Brava |
E223503
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Platja d’Aro |
E722546
|
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: Platja d’Aro | Statement: [Costa Brava, contains, Platja d’Aro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Platja d’Aro Context triple: [Costa Brava, contains, Platja d’Aro]
-
A.
Cala Millor
Cala Millor is a popular resort town on the eastern coast of Mallorca, Spain, known for its long sandy beach and tourist amenities.
-
B.
Lloret de Mar
chosen
Lloret de Mar is a popular Mediterranean coastal resort town on Spain’s Costa Brava, known for its beaches, nightlife, and tourism.
-
C.
Cala d'Or
Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
-
D.
Cala Santanyí
Cala Santanyí is a picturesque sandy cove and popular swimming spot on the southeast coast of Mallorca, Spain, known for its clear turquoise waters and sheltered bay.
-
E.
Canigó
Canigó is a prominent mountain in the eastern Pyrenees of southern France, culturally significant to Catalan identity and often celebrated in regional literature and tradition.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0865a7108190b807afd259980db2 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16110ecb08190a5f456a4a68afabb |
completed | April 4, 2026, 7:05 p.m. |
Created at: March 30, 2026, 7:35 p.m.