Triple
T21029278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Θήβα |
E518021
|
entity |
| Predicate | διασχίζεται_από |
P11198
|
FINISHED |
| Object | σιδηροδρομική γραμμή Αθηνών–Θεσσαλονίκης |
—
|
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: σιδηροδρομική γραμμή Αθηνών–Θεσσαλονίκης | Statement: [Θήβα, διασχίζεται_από, σιδηροδρομική γραμμή Αθηνών–Θεσσαλονίκης]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: διασχίζεται_από Context triple: [Θήβα, διασχίζεται_από, σιδηροδρομική γραμμή Αθηνών–Θεσσαλονίκης]
-
A.
across
Indicates a spatial relationship where one entity is on the opposite side of, or extending from one side to the other side of, another entity or area.
-
B.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
C.
crossedBy
Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
-
D.
travelsThrough
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
-
E.
isPassedThroughBy
chosen
Indicates that something serves as a medium, route, or channel through which another thing moves, flows, or is transmitted.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7fd3ec81908ac237047f9b0d7a |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.