Triple
T15147502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sea of Thessaly (Aegean Sea coast) |
E361850
|
entity |
| Predicate | locatedOnSideOfGreekMainland |
P117502
|
FINISHED |
| Object | eastern side |
—
|
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: eastern side | Statement: [Sea of Thessaly (Aegean Sea coast), locatedOnSideOfGreekMainland, eastern side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnSideOfGreekMainland Context triple: [Sea of Thessaly (Aegean Sea coast), locatedOnSideOfGreekMainland, eastern side]
-
A.
isLocatedBetweenMajorRegionsOfGreece
Indicates that something is geographically situated in an area lying between two or more major regions of Greece.
-
B.
crossesAdministrativeRegionOfGreece
Indicates that one entity passes through or extends across the administrative region of Greece associated with another entity.
-
C.
rankByAreaInGreece
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Greece.
-
D.
locatedOnPeninsula
Indicates that one entity is situated on or within the geographic area of a peninsula.
-
E.
nearbyGreekCity
Indicates that one city is geographically close to another city located in Greece.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:07 a.m.