Triple
T2711596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alwar |
E59873
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Siliserh Lake
Siliserh Lake is a picturesque artificial reservoir near Alwar in Rajasthan, India, known for its scenic surroundings and historic lakeside palace.
|
E300371
|
NE FINISHED |
How this triple was built (4 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: Siliserh Lake | Statement: [Alwar, hasLake, Siliserh Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siliserh Lake Context triple: [Alwar, hasLake, Siliserh Lake]
-
A.
Volkerak lake
Volkerak lake is a Dutch freshwater lake in the Rhine–Meuse–Scheldt delta, created as part of the Delta Works water management system.
-
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.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
D.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
E.
Pisochne Lake
Pisochne Lake is a freshwater lake located in Ukraine’s Volyn Oblast, known for its clear waters and natural surroundings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Siliserh Lake Triple: [Alwar, hasLake, Siliserh Lake]
Generated description
Siliserh Lake is a picturesque artificial reservoir near Alwar in Rajasthan, India, known for its scenic surroundings and historic lakeside palace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siliserh Lake Target entity description: Siliserh Lake is a picturesque artificial reservoir near Alwar in Rajasthan, India, known for its scenic surroundings and historic lakeside palace.
-
A.
Volkerak lake
Volkerak lake is a Dutch freshwater lake in the Rhine–Meuse–Scheldt delta, created as part of the Delta Works water management system.
-
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.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
D.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
E.
Pisochne Lake
Pisochne Lake is a freshwater lake located in Ukraine’s Volyn Oblast, known for its clear waters and natural surroundings.
- F. None of above. chosen
Provenance (5 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda78c4f08190bb1217f08198c4cc |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc63b76e0819084c4d2bd4a9e6d78 |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afcaaca2148190b61498e5139d664d |
completed | March 10, 2026, 7:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcb43e9b88190a99b1bb2e62430da |
completed | March 10, 2026, 7:41 a.m. |
Created at: March 6, 2026, 9:55 p.m.