Triple
T12354541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Στρυμόνας |
E294576
|
entity |
| Predicate | έχειΜήκος |
P266
|
FINISHED |
| Object | περίπου 415 χιλιόμετρα |
—
|
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: περίπου 415 χιλιόμετρα | Statement: [Στρυμόνας, έχειΜήκος, περίπου 415 χιλιόμετρα]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχειΜήκος Context triple: [Στρυμόνας, έχειΜήκος, περίπου 415 χιλιόμετρα]
-
A.
dimensionOfLength
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
B.
measureOf
Indicates that one entity serves as a quantitative or qualitative assessment or metric describing a property, extent, or magnitude of another entity.
-
C.
metre
Indicates a measurement relationship where one entity’s length, distance, or size is quantified in units of metres.
-
D.
meter
Indicates a measurement relationship where one entity quantifies the length, distance, or extent of another in meters.
-
E.
length
chosen
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.