Triple
T23028949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | es Llombards |
E573402
|
entity |
| Predicate | nearTo |
P350
|
FINISHED |
| Object | Ses Salines |
—
|
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: Ses Salines | Statement: [es Llombards, nearTo, Ses Salines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ses Salines Context triple: [es Llombards, nearTo, Ses Salines]
-
A.
Ses Salines
chosen
Ses Salines is a coastal municipality in southern Mallorca, Spain, known for its traditional salt flats and nearby beaches such as Es Trenc.
-
B.
Le Saline
Le Saline is a scenic sandy beach near the town of Calasetta on the island of Sant’Antioco in Sardinia, Italy, known for its clear waters and tranquil atmosphere.
-
C.
Sâles
Sâles is a municipality in the canton of Fribourg in western Switzerland, situated within the predominantly rural and French-speaking Glâne District.
-
D.
L’Ecrin
L’Ecrin is the fine-dining gastronomic restaurant located within the luxury Hôtel de Crillon in Paris.
-
E.
Aigues-Mortais
Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847f453881909a8f2affb48c64f1 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.