Triple
T3611293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syros |
E76492
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Finikas
Finikas is a coastal village and seaside resort on the Greek island of Syros, known for its sheltered bay and marina.
|
E373048
|
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: Finikas | Statement: [Syros, hasSettlement, Finikas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finikas Context triple: [Syros, hasSettlement, Finikas]
-
A.
Simas
Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
-
B.
Sifakis
Sifakis is a Greek surname most notably associated with Joseph Sifakis, a pioneering computer scientist and Turing Award laureate recognized for his work in model checking.
-
C.
Smolikas
Smolikas is a prominent mountain in northern Greece, known as the second-highest peak in the country after Mount Olympus.
-
D.
Plastiras
Plastiras is a municipality in central Greece, named after Lake Plastiras and known for its scenic mountainous landscapes and reservoir.
-
E.
Mikelis
Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
- 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: Finikas Triple: [Syros, hasSettlement, Finikas]
Generated description
Finikas is a coastal village and seaside resort on the Greek island of Syros, known for its sheltered bay and marina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Finikas Target entity description: Finikas is a coastal village and seaside resort on the Greek island of Syros, known for its sheltered bay and marina.
-
A.
Simas
Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
-
B.
Sifakis
Sifakis is a Greek surname most notably associated with Joseph Sifakis, a pioneering computer scientist and Turing Award laureate recognized for his work in model checking.
-
C.
Smolikas
Smolikas is a prominent mountain in northern Greece, known as the second-highest peak in the country after Mount Olympus.
-
D.
Plastiras
Plastiras is a municipality in central Greece, named after Lake Plastiras and known for its scenic mountainous landscapes and reservoir.
-
E.
Mikelis
Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22cac3c8190bc5f7c45d31668c1 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b433136c94819099bc1d3846e54b07 |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b43710e1f48190b581c93a9f5003de |
completed | March 13, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b43777745c819097be79cd889da55c |
completed | March 13, 2026, 4:12 p.m. |
Created at: March 8, 2026, 3:23 p.m.