Triple
T13250118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Tuz |
E315502
|
entity |
| Predicate | TurkishName |
P15502
|
FINISHED |
| Object | Tuz Gölü |
E315502
|
NE 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: Tuz Gölü | Statement: [Lake Tuz, TurkishName, Tuz Gölü]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuz Gölü Context triple: [Lake Tuz, TurkishName, Tuz Gölü]
-
A.
Lake Tuz
chosen
Lake Tuz is a large, shallow hypersaline lake in central Turkey known for its extensive salt flats and ecological importance as a habitat for migratory birds.
-
B.
Ölüdeniz Lagoon
Ölüdeniz Lagoon is a famous turquoise-blue coastal lagoon and beach in southwestern Turkey, renowned for its calm, clear waters and scenic setting on the Turkish Riviera.
-
C.
Lake Van
Lake Van is the largest lake in Turkey, a saline endorheic lake renowned for its high altitude, unique ecosystem, and historical Armenian cultural sites along its shores.
-
D.
Lake Urmia
Lake Urmia is a large, historically significant salt lake in northwestern Iran known for its dramatic shrinkage due to climate change and water mismanagement.
-
E.
Namak Lake
Namak Lake is a large endorheic salt lake in central Iran known for its high salinity and seasonal water coverage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305c5f8081908bbe19f2a644acc5 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:24 p.m.