Triple
T1994478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicaea |
E43326
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lake İznik |
E208871
|
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: Lake İznik | Statement: [Nicaea, near, Lake İznik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake İznik Context triple: [Nicaea, near, Lake İznik]
-
A.
Lake İznik
chosen
Lake İznik is a large freshwater lake in northwestern Turkey, known for its scenic surroundings and historical significance near the ancient town of İznik (Nicaea).
-
B.
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.
-
C.
Lake Orta
Lake Orta is a picturesque glacial lake in northern Italy, renowned for its tranquil atmosphere, historic lakeside villages, and the island of San Giulio.
-
D.
Osman Sagar
Osman Sagar is an artificial lake and reservoir near Hyderabad, India, created by damming the Musi River and serving as a major source of drinking water and recreation for the region.
-
E.
Lake Velence
Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8640f30819080322bddb85881f1 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033c6cf88190acf6418f0d784914 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.