Triple
T9297380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Askania |
E223671
|
entity |
| Predicate | modernName |
P1213
|
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: [Lake Askania, modernName, Lake İznik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake İznik Context triple: [Lake Askania, modernName, 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 Çıldır
Lake Çıldır is a large high-altitude freshwater lake in northeastern Turkey, known for its scenic beauty, fishing, and winter ice activities.
-
C.
Lake Kerkini
Lake Kerkini is an artificial reservoir in northern Greece renowned as one of the country’s most important wetlands and birdwatching sites.
-
D.
Lake Tuz
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.
-
E.
Keban Lake
Keban Lake is a large artificial reservoir in eastern Turkey formed by the Keban Dam on the Euphrates River, serving hydroelectric, irrigation, and flood-control purposes.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089e3ae88190aa4181cdd85a67b8 |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b251c4148190a94fafdc23a601d6 |
completed | April 4, 2026, 6:40 a.m. |
Created at: March 30, 2026, 7:36 p.m.