Triple
T16195574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elounda |
E393051
|
entity |
| Predicate | distanceToAgiosNikolaos |
P122110
|
FINISHED |
| Object | approximately 10 kilometers north |
—
|
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 kilometers north | Statement: [Elounda, distanceToAgiosNikolaos, approximately 10 kilometers north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAgiosNikolaos Context triple: [Elounda, distanceToAgiosNikolaos, approximately 10 kilometers north]
-
A.
distanceToNafplio
Indicates the spatial distance between a given entity’s location and the location of Nafplio.
-
B.
distanceFromAegina
Indicates the spatial distance between a given entity and the location Aegina.
-
C.
distanceFromAthensBySea
Indicates the measured distance between a place and Athens when traveling via sea routes.
-
D.
distanceFromHeraklion
Indicates the spatial distance between a given location and the city of Heraklion.
-
E.
distanceToPiraeus
Indicates the spatial distance between a given location or object and Piraeus.
- F. None of above. chosen
Provenance (4 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d91130819080da4e2611612e27 |
completed | April 17, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.