Triple
T19028146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ios |
E465664
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Mylopotas
Mylopotas is a popular beach resort village on the Greek island of Ios, known for its long sandy beach and vibrant nightlife.
|
E1355150
|
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: Mylopotas | Statement: [Ios, hasSettlement, Mylopotas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mylopotas Context triple: [Ios, hasSettlement, Mylopotas]
-
A.
Pserimos
Pserimos is a small Greek island in the southeastern Aegean Sea, known for its quiet beaches and traditional village life.
-
B.
Molyvos
Molyvos is a picturesque coastal town on the Greek island of Lesbos, known for its medieval castle, traditional stone houses, and scenic harbor.
-
C.
Kolymbithra
Kolymbithra is a coastal village on the Greek island of Tinos, known for its scenic beaches and tranquil Aegean setting.
-
D.
Potaissa
Potaissa is the ancient Roman name of the modern city of Turda in present-day Romania, known historically as a significant military and administrative center in the province of Dacia.
-
E.
Lophodolos
Lophodolos is a genus of deep-sea anglerfish in the family Oneirodidae, known for their bioluminescent lures used to attract prey in the dark ocean depths.
- 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: Mylopotas Triple: [Ios, hasSettlement, Mylopotas]
Generated description
Mylopotas is a popular beach resort village on the Greek island of Ios, known for its long sandy beach and vibrant nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mylopotas Target entity description: Mylopotas is a popular beach resort village on the Greek island of Ios, known for its long sandy beach and vibrant nightlife.
-
A.
Pserimos
Pserimos is a small Greek island in the southeastern Aegean Sea, known for its quiet beaches and traditional village life.
-
B.
Molyvos
Molyvos is a picturesque coastal town on the Greek island of Lesbos, known for its medieval castle, traditional stone houses, and scenic harbor.
-
C.
Kolymbithra
Kolymbithra is a coastal village on the Greek island of Tinos, known for its scenic beaches and tranquil Aegean setting.
-
D.
Potaissa
Potaissa is the ancient Roman name of the modern city of Turda in present-day Romania, known historically as a significant military and administrative center in the province of Dacia.
-
E.
Lophodolos
Lophodolos is a genus of deep-sea anglerfish in the family Oneirodidae, known for their bioluminescent lures used to attract prey in the dark ocean depths.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73ec9088190a98e214bd56e8622 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be5811e88190aae947755f554492 |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bf6819b08190851561a489f66d3f |
completed | May 14, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05bfe2ab5c8190a969f060b01ee913 |
completed | May 14, 2026, 12:28 p.m. |
Created at: April 10, 2026, 12:02 p.m.