Triple
T20983661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tata |
E516832
|
entity |
| Predicate | hasWaterBody |
P165
|
FINISHED |
| Object | Cseke Lake |
E1461670
|
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: Cseke Lake | Statement: [Tata, hasWaterBody, Cseke Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cseke Lake Context triple: [Tata, hasWaterBody, Cseke Lake]
-
A.
Cseke Lake
chosen
Cseke Lake is a scenic artificial lake and popular recreational spot located in the town of Tata, Hungary.
-
B.
Hámori Lake
Hámori Lake is a scenic artificial lake in the Bükk Mountains of northeastern Hungary, popular for recreation and nature tourism near the city of Miskolc.
-
C.
Zănoaga Lake
Zănoaga Lake is a high-altitude glacial lake in Romania’s Retezat Mountains, noted for its great depth and scenic alpine surroundings.
-
D.
Kachrali Lake
Kachrali Lake is a popular urban lake and recreational spot located in the city of Thane, Maharashtra, India.
-
E.
Siliserh Lake
Siliserh Lake is a picturesque artificial reservoir near Alwar in Rajasthan, India, known for its scenic surroundings and historic lakeside palace.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe1474c8190912b90da0973f99f |
completed | April 21, 2026, 4:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a094736cde48190b4f724d807fd8097 |
completed | May 17, 2026, 4:42 a.m. |
Created at: April 16, 2026, 1:48 p.m.