Triple
T35031880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vlorë County |
E1010803
|
entity |
| Predicate | containsLakeOrLagoon |
P123528
|
FINISHED |
| Object | Butrint Lake |
—
|
NE NERFINISHED |
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: Butrint Lake | Statement: [Vlorë County, containsLakeOrLagoon, Butrint Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLakeOrLagoon Context triple: [Vlorë County, containsLakeOrLagoon, Butrint Lake]
-
A.
hasLakes
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
-
B.
hasFreshwaterLake
Indicates that one entity possesses, contains, or is associated with a freshwater lake.
-
C.
isInlandLake
Indicates that a body of water is a lake located inland, not directly connected to the sea or ocean.
-
D.
hasLakeThatRepresents
Indicates a relationship where a lake serves as a symbolic or representative feature for something, such as a place, concept, or entity.
-
E.
hasLakeLandscape
Indicates that an entity features or is characterized by a landscape that includes a lake.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00ab25c5b48190ad07ff508392ef56 |
completed | May 10, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_6a00a8a5cfc48190bbe97fb2bbd1b947 |
completed | May 10, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:01 p.m.