Triple
T18055084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pisoderi |
E432015
|
entity |
| Predicate | distanceFrom Florina |
P129648
|
FINISHED |
| Object | approximately 17 kilometres |
—
|
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 17 kilometres | Statement: [Pisoderi, distanceFrom Florina, approximately 17 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFrom Florina Context triple: [Pisoderi, distanceFrom Florina, approximately 17 kilometres]
-
A.
distanceFromIoannina
Indicates the spatial distance between a given location and the city of Ioannina.
-
B.
distanceToNafplio
Indicates the spatial distance between a given entity’s location and the location of Nafplio.
-
C.
distanceToVolos
Indicates the spatial distance between a given entity and the location of Volos.
-
D.
distanceFromKaterini_km
Indicates the distance, measured in kilometers, between a given place and Katerini.
-
E.
distanceFromThessaloniki
Indicates the spatial distance between a given entity and the city of Thessaloniki.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c101dfb081908dc66f4b4967d8c7 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.