Triple
T30799181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Λήδρας |
E784317
|
entity |
| Predicate | έχει_σημείο_διέλευσης |
P47021
|
FINISHED |
| Object | οδό Λήδρας crossing point |
—
|
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: οδό Λήδρας crossing point | Statement: [Λήδρας, έχει_σημείο_διέλευσης, οδό Λήδρας crossing point]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχει_σημείο_διέλευσης Context triple: [Λήδρας, έχει_σημείο_διέλευσης, οδό Λήδρας crossing point]
-
A.
crossingOf
chosen
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
B.
συνδέεται_οδικά_με
Indicates that there is a road connection or roadway link between the two entities.
-
C.
placeOfPassing
Indicates the location where an entity (typically a person) died or passed away.
-
D.
isStartingPointOf
Indicates that something serves as the initial point or origin from which another thing, process, or path begins.
-
E.
travelsThrough
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:42 p.m.