Triple
T13752021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gölbaşı |
E330375
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Eymir Lake |
E324380
|
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: Eymir Lake | Statement: [Gölbaşı, hasLake, Eymir Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eymir Lake Context triple: [Gölbaşı, hasLake, Eymir Lake]
-
A.
Eymir Lake
chosen
Eymir Lake is a scenic freshwater lake near Ankara, Turkey, popular for recreation and nature activities and managed as part of the Middle East Technical University campus area.
-
B.
Maota Lake
Maota Lake is a historic artificial lake in Jaipur, India, known for its scenic setting below the Amber Fort and its role as a former water source for the fort complex.
-
C.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
D.
Haflong Lake
Haflong Lake is a scenic natural lake in Assam, India, known as a popular spot for boating, birdwatching, and leisure tourism in the hill town of Haflong.
-
E.
Mirik Lake
Mirik Lake is a scenic artificial lake in the hill town of Mirik, surrounded by forests and gardens and popular for boating and leisure walks amid views of the Eastern Himalayas.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0215cfa08190aaed8b089aff217b |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5da6a2081909dcc9785598e1196 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 9, 2026, 10:09 p.m.