Triple
T7539487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fournoi Korseon |
E178236
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Agios Minas
Agios Minas is a small Greek island in the Aegean Sea, part of the Fournoi Korseon archipelago.
|
E671992
|
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: Agios Minas | Statement: [Fournoi Korseon, hasIsland, Agios Minas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agios Minas Context triple: [Fournoi Korseon, hasIsland, Agios Minas]
-
A.
Ansião
Ansião is a municipality in central Portugal known for its rural landscapes, historical churches, and traditional Portuguese architecture.
-
B.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
C.
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.
-
D.
Linda-a-Velha
Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
-
E.
Louros town
Louros town is a small settlement in northwestern Greece situated near the Louros River, known for its rural character and surrounding natural landscapes.
- 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: Agios Minas Triple: [Fournoi Korseon, hasIsland, Agios Minas]
Generated description
Agios Minas is a small Greek island in the Aegean Sea, part of the Fournoi Korseon archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agios Minas Target entity description: Agios Minas is a small Greek island in the Aegean Sea, part of the Fournoi Korseon archipelago.
-
A.
Ansião
Ansião is a municipality in central Portugal known for its rural landscapes, historical churches, and traditional Portuguese architecture.
-
B.
Amarante
Amarante is a Portuguese surname most notably associated with Brazilian musician and songwriter Rodrigo Amarante.
-
C.
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.
-
D.
Linda-a-Velha
Linda-a-Velha is a suburban parish in the municipality of Oeiras, within the Lisbon metropolitan area of Portugal.
-
E.
Louros town
Louros town is a small settlement in northwestern Greece situated near the Louros River, known for its rural character and surrounding natural landscapes.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f87280f0819097d4ffc2e1b62cf8 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f14d20c8190ab254f991cec0d94 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c853ab496c8190ad35c7c00eb82160 |
completed | March 28, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c853f8e6808190bde26c01576cc22c |
completed | March 28, 2026, 10:19 p.m. |
Created at: March 27, 2026, 3:48 p.m.