Triple
T22701790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvià |
E561342
|
entity |
| Predicate | hasTouristResort |
P52326
|
FINISHED |
| Object | Peguera |
—
|
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: Peguera | Statement: [Calvià, hasTouristResort, Peguera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peguera Context triple: [Calvià, hasTouristResort, Peguera]
-
A.
Peguera
chosen
Peguera is a popular beach resort town on the southwest coast of Mallorca, Spain, known for its sandy bays and tourist-friendly promenade.
-
B.
Jane T. Castro
Jane T. Castro is a Filipino politician who serves as the elected representative of the municipality of Dumalag.
-
C.
Ana Padilla
Ana Padilla is an individual whose specific public background or notable achievements are not clearly identifiable from the given information.
-
D.
María Padilla
María Padilla was a 14th-century Castilian noblewoman best known as the longtime mistress and later acknowledged wife of King Peter of Castile, wielding significant political influence at his court.
-
E.
Laura Solon
Laura Solon is a British comedian, writer, and actress known for her award-winning radio and sketch comedy work as well as screenwriting for film and television.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cb2f548190bfc6f050be7c795a |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:15 p.m.