Triple
T35897494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Σπιανάδα |
E1038263
|
entity |
| Predicate | βρίσκεται στο νησί |
P35221
|
FINISHED |
| Object |
Κέρκυρα
Η Κέρκυρα είναι ένα από τα πιο γνωστά και καταπράσινα νησιά του Ιονίου, φημισμένο για την ενετική αρχιτεκτονική, την παλιά πόλη-Μνημείο UNESCO και τον πλούσιο πολιτισμό της.
|
E2159829
|
NE FINISHED |
How this triple was built (3 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: Κέρκυρα | Statement: [Σπιανάδα, βρίσκεται στο νησί, Κέρκυρα]
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: Κέρκυρα Triple: [Σπιανάδα, βρίσκεται στο νησί, Κέρκυρα]
Generated description
Η Κέρκυρα είναι ένα από τα πιο γνωστά και καταπράσινα νησιά του Ιονίου, φημισμένο για την ενετική αρχιτεκτονική, την παλιά πόλη-Μνημείο UNESCO και τον πλούσιο πολιτισμό της.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: βρίσκεται στο νησί Context triple: [Σπιανάδα, βρίσκεται στο νησί, Κέρκυρα]
-
A.
locatedOnSideOfGreekMainland
Indicates that one place is situated on the side of the Greek mainland relative to another reference point or area.
-
B.
locatedInRegionOfIsland
Indicates that an entity is situated within a specific region that is part of an island.
-
C.
foundOnIsland
chosen
Indicates that one entity is located or discovered on an island in relation to another entity.
-
D.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
E.
meetsInIsland
Indicates that two or more entities meet with each other at a location that is an island.
- F. None of above.
Provenance (6 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a50285d48190bab1502791b2cdeb |
completed | June 22, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a38a61174b08190ba4c40499c5075ca |
completed | June 22, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38a6bafeb081908a73e8735069d039 |
completed | June 22, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.