Triple
T15322009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plastiras (municipality) |
E366313
|
entity |
| Predicate | lakeTypeWithinTerritory |
P79996
|
FINISHED |
| Object | artificial reservoir lake |
—
|
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: artificial reservoir lake | Statement: [Plastiras (municipality), lakeTypeWithinTerritory, artificial reservoir lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeTypeWithinTerritory Context triple: [Plastiras (municipality), lakeTypeWithinTerritory, artificial reservoir lake]
-
A.
lakeTypeNearby
Indicates that one entity is located near another entity that is classified as a particular type of lake.
-
B.
lakeShape
Indicates the geometric or physical outline/form that a lake possesses.
-
C.
isLakeType
chosen
Indicates that one entity is a specific type or category of lake in relation to another entity.
-
D.
waterbodyType
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
E.
isFreshwaterBody
Indicates that the referenced body of water consists primarily of non-saline (fresh) water rather than saltwater.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd460288190b5c41f0a0aeee949 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.