Triple
T7275222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cala d'Or |
E163008
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Porto Petro |
E629601
|
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: Porto Petro | Statement: [Cala d'Or, hasNearbySettlement, Porto Petro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Petro Context triple: [Cala d'Or, hasNearbySettlement, Porto Petro]
-
A.
Portopetro
chosen
Portopetro is a small coastal village and harbor on the southeast coast of Mallorca, Spain, known for its tranquil bays and traditional Mediterranean character.
-
B.
Porto Judeu
Porto Judeu is a civil parish on Terceira Island in the Azores, Portugal, known for its coastal setting and traditional Azorean character.
-
C.
Porto dos Casais
Porto dos Casais was the original colonial settlement that later developed into the Brazilian city of Porto Alegre.
-
D.
Porto da Folha
Porto da Folha is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural communities and traditional cultural practices.
-
E.
Cantanhede
Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb0fd8788190aa21d4b2ad773926 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db2c76fc81909632c7ee4e54f81c |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:58 p.m.