Triple
T6155728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santanyí |
E137314
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Cala d'Or |
E163008
|
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: Cala d'Or | Statement: [Santanyí, hasSettlement, Cala d'Or]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cala d'Or Context triple: [Santanyí, hasSettlement, Cala d'Or]
-
A.
Cala d'Or
chosen
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.
-
B.
Benidorm
Benidorm is a major Spanish Mediterranean resort city famous for its skyscraper-lined beaches, vibrant nightlife, and mass tourism.
-
C.
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.
-
D.
Alcúdia
Alcúdia is a historic coastal town in northern Mallorca, Spain, known for its well-preserved medieval walls, charming old town, and nearby sandy beaches.
-
E.
Palma de Mallorca
Palma de Mallorca is the historic coastal city and major tourist destination that serves as the political, cultural, and economic center of Spain’s Balearic Islands.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d0376408190a2233375f478377e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518e697088190b47a610783baa7ea |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:17 p.m.