Triple
T12124454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto Rafti |
E288772
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Porto Raphti
Porto Raphti is a coastal town and popular seaside resort in eastern Attica, Greece, known for its beaches and proximity to Athens.
|
E975430
|
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: Porto Raphti | Statement: [Porto Rafti, alternativeName, Porto Raphti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Raphti Context triple: [Porto Rafti, alternativeName, Porto Raphti]
-
A.
Peniche
Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
-
B.
Lixouri
Lixouri is a coastal town and one of the main settlements on the Greek island of Kefalonia, known for its harbor, beaches, and relaxed atmosphere.
-
C.
Pirae
Pirae is the surname of Marcus Jean Pirae, an actor known for roles in science fiction and action films.
-
D.
Porto Katsiki
Porto Katsiki is a famous white-cliffed beach with turquoise waters on the island of Lefkada in Greece, renowned as one of the most beautiful beaches in the Ionian Sea.
-
E.
Mogadouro
Mogadouro is a municipality in northeastern Portugal known as one of the main areas where the Mirandese language is traditionally spoken.
- 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: Porto Raphti Triple: [Porto Rafti, alternativeName, Porto Raphti]
Generated description
Porto Raphti is a coastal town and popular seaside resort in eastern Attica, Greece, known for its beaches and proximity to Athens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porto Raphti Target entity description: Porto Raphti is a coastal town and popular seaside resort in eastern Attica, Greece, known for its beaches and proximity to Athens.
-
A.
Peniche
Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
-
B.
Lixouri
Lixouri is a coastal town and one of the main settlements on the Greek island of Kefalonia, known for its harbor, beaches, and relaxed atmosphere.
-
C.
Pirae
Pirae is the surname of Marcus Jean Pirae, an actor known for roles in science fiction and action films.
-
D.
Porto Katsiki
Porto Katsiki is a famous white-cliffed beach with turquoise waters on the island of Lefkada in Greece, renowned as one of the most beautiful beaches in the Ionian Sea.
-
E.
Mogadouro
Mogadouro is a municipality in northeastern Portugal known as one of the main areas where the Mirandese language is traditionally spoken.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9157b2a9881908ec0e58cf438fce0 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e48957081909c4598e82ab31e1f |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f61f5b107c819082094791fcf7c5f4 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62009766c8190985fafe9ba53ae7b |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:49 p.m.