Triple
T12715137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doodh Talai Lake |
E303816
|
entity |
| Predicate | offersViewOf |
P3821
|
FINISHED |
| Object | Pichola Lake |
E1034135
|
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: Pichola Lake | Statement: [Doodh Talai Lake, offersViewOf, Pichola Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pichola Lake Context triple: [Doodh Talai Lake, offersViewOf, Pichola Lake]
-
A.
Pichola Lake
chosen
Pichola Lake is a picturesque artificial freshwater lake in Udaipur, Rajasthan, famed for its island palaces, surrounding ghats, and scenic views of the Aravalli hills.
-
B.
Gobind Sagar Lake
Gobind Sagar Lake is a large artificial reservoir in Himachal Pradesh, India, renowned for its role in hydroelectric power generation, irrigation, and fisheries.
-
C.
Lakha Banjara Lake
Lakha Banjara Lake is a prominent artificial lake and local landmark situated near the city of Sagar in Madhya Pradesh, India.
-
D.
Sukhna Lake
Sukhna Lake is a man-made reservoir at the foothills of the Shivalik range, known as a popular recreational and scenic spot in Chandigarh, India.
-
E.
Swaroop Sagar Lake
Swaroop Sagar Lake is a man-made freshwater lake in Udaipur, Rajasthan, that forms part of the city’s interconnected lake system and helps regulate its water levels.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620a7554819083784897ff690652 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746077b288190b8ca7927352a7904 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 5:23 p.m.