Triple
T20414374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shankaracharya Temple |
E500668
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Dal 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: Dal Lake | Statement: [Shankaracharya Temple, near, Dal Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dal Lake Context triple: [Shankaracharya Temple, near, Dal Lake]
-
A.
Dal Lake
chosen
Dal Lake is a famous urban lake in Srinagar, Jammu and Kashmir, renowned for its houseboats, shikara rides, and surrounding Himalayan scenery.
-
B.
Dal Lake (Dharamshala)
Dal Lake (Dharamshala) is a small, scenic high-altitude lake in Himachal Pradesh, India, known for its deodar forest surroundings and as a popular spot for picnics and religious visits.
-
C.
Kapoor Talab
Kapoor Talab is a historic water tank in Mandu, Madhya Pradesh, that forms part of the medieval fort complex’s system of reservoirs and scenic surroundings.
-
D.
Naini Lake
Naini Lake is a picturesque, kidney-shaped freshwater lake in the Himalayan hill town of Nainital, India, renowned as a popular boating and tourist destination.
-
E.
Rawal Lake
Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4281048190a2b016ec16b7d203 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.