Triple
T7883983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakarparian |
E183052
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Rawal Lake area |
E34588
|
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: Rawal Lake area | Statement: [Shakarparian, overlooks, Rawal Lake area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawal Lake area Context triple: [Shakarparian, overlooks, Rawal Lake area]
-
A.
Rawal Lake
chosen
Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
-
B.
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.
-
C.
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.
-
D.
Ramna Lake
Ramna Lake is a scenic urban lake in central Dhaka, Bangladesh, known as a popular recreational and cultural spot surrounded by greenery and city landmarks.
-
E.
Neelum Valley
Neelum Valley is a scenic, mountainous valley in Azad Jammu and Kashmir, Pakistan, renowned for its lush forests, rivers, and popular tourist resorts.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d4d09481909a61037243397eff |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfa64c148190bf2b872bbfda1b3e |
completed | March 31, 2026, 2:52 p.m. |
Created at: March 30, 2026, 4:58 p.m.