Triple
T21434779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukhna Choe |
E528778
|
entity |
| Predicate | helpsSustain |
P96744
|
FINISHED |
| Object | Sukhna Lake |
—
|
NE NERFINISHED |
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: Sukhna Lake | Statement: [Sukhna Choe, helpsSustain, Sukhna Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukhna Lake Context triple: [Sukhna Choe, helpsSustain, Sukhna Lake]
-
A.
Sukhna Lake
chosen
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.
-
B.
Khanpur Lake
Khanpur Lake is a scenic reservoir and popular recreational spot in Pakistan’s Khyber Pakhtunkhwa province, known for boating, water sports, and lakeside picnics.
-
C.
Manasbal Lake
Manasbal Lake is a scenic freshwater lake in Jammu and Kashmir, India, renowned for its lotus-covered waters and surrounding Himalayan landscapes.
-
D.
Rawal Lake
Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
-
E.
Govindgarh Lake
Govindgarh Lake is a scenic freshwater lake and popular local attraction located near the town of Govindgarh in Rewa district, Madhya Pradesh, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b53516d081908f8058a8ee363629 |
completed | April 22, 2026, 11:47 a.m. |
Created at: April 16, 2026, 6 p.m.