Triple
T17431846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Smeralda |
E423890
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object |
Liscia Ruja
Liscia Ruja is a famous long, sandy beach on Sardinia’s Costa Smeralda, known for its turquoise waters and scenic Mediterranean setting.
|
E1268437
|
NE FINISHED |
How this triple was built (4 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: Liscia Ruja | Statement: [Costa Smeralda, hasBeach, Liscia Ruja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liscia Ruja Context triple: [Costa Smeralda, hasBeach, Liscia Ruja]
-
A.
Elle Russia
Elle Russia is the Russian-language edition of the international fashion and lifestyle magazine Elle, featuring content on style, beauty, culture, and celebrity.
-
B.
Kashirina
Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
-
C.
Ruzan
Ruzan is a surname most notably associated with American television producer and writer Robin Ruzan.
-
D.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
E.
Romeyka
Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liscia Ruja Triple: [Costa Smeralda, hasBeach, Liscia Ruja]
Generated description
Liscia Ruja is a famous long, sandy beach on Sardinia’s Costa Smeralda, known for its turquoise waters and scenic Mediterranean setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liscia Ruja Target entity description: Liscia Ruja is a famous long, sandy beach on Sardinia’s Costa Smeralda, known for its turquoise waters and scenic Mediterranean setting.
-
A.
Elle Russia
Elle Russia is the Russian-language edition of the international fashion and lifestyle magazine Elle, featuring content on style, beauty, culture, and celebrity.
-
B.
Kashirina
Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
-
C.
Ruzan
Ruzan is a surname most notably associated with American television producer and writer Robin Ruzan.
-
D.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
E.
Romeyka
Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
- F. None of above. chosen
Provenance (5 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490072b48190a39b1ac7bb5eb035 |
completed | April 19, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01afeeeb508190a210c4c84544db63 |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b090b1f4819094517495fe43fa0f |
completed | May 11, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b11e85c08190a7bb2a82c9a4a9ca |
completed | May 11, 2026, 10:36 a.m. |
Created at: April 10, 2026, 5:46 a.m.