Triple
T22278288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agia Paraskevi Tzoumerkon |
E550661
|
entity |
| Predicate | transportAccessType |
P147666
|
FINISHED |
| Object | mountain roads |
—
|
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: mountain roads | Statement: [Agia Paraskevi Tzoumerkon, transportAccessType, mountain roads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportAccessType Context triple: [Agia Paraskevi Tzoumerkon, transportAccessType, mountain roads]
-
A.
transportModeAccess
Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
-
B.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
C.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
D.
transportModePresent
Indicates that a particular mode of transportation is involved or available in the described context or event.
-
E.
transportModeTo
Indicates the means or mode of transportation used to travel to a specified destination.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea96948819081c1ae6c7b11ab62 |
completed | April 29, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e72ff0363081909f794d19c8a64837 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:40 p.m.