Triple
T11879921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens Riviera |
E282627
|
entity |
| Predicate | distanceFromAthensCenter |
P101484
|
FINISHED |
| Object | approximately 10 to 50 kilometers |
—
|
LITERAL FINISHED |
How this triple was built (2 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: approximately 10 to 50 kilometers | Statement: [Athens Riviera, distanceFromAthensCenter, approximately 10 to 50 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAthensCenter Context triple: [Athens Riviera, distanceFromAthensCenter, approximately 10 to 50 kilometers]
-
A.
distanceToAthensCenter
chosen
Indicates the spatial distance between a given location and the center of Athens.
-
B.
distanceFromThessaloniki
Indicates the spatial distance between a given entity and the city of Thessaloniki.
-
C.
distanceToPiraeus
Indicates the spatial distance between a given location or object and Piraeus.
-
D.
distanceFromHeraklion
Indicates the spatial distance between a given location and the city of Heraklion.
-
E.
distanceFromKaterini_km
Indicates the distance, measured in kilometers, between a given place and Katerini.
- F. None of above.
Provenance (3 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.