Triple
T1609695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawal Lake |
E34588
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Rawal Dam |
E184856
|
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 Dam | Statement: [Rawal Lake, createdBy, Rawal Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawal Dam Context triple: [Rawal Lake, createdBy, Rawal Dam]
-
A.
Rawal Dam
chosen
Rawal Dam is a water reservoir structure near Islamabad, Pakistan, built to store and supply water from Rawal Lake for the surrounding region.
-
B.
Ralco Dam
Ralco Dam is a major hydroelectric power plant in Chile, known for its large reservoir and controversial impact on the local environment and indigenous communities.
-
C.
Mangla Dam
Mangla Dam is a major multipurpose embankment dam in Pakistan, known for hydroelectric power generation, irrigation support, and being one of the largest dams in the country.
-
D.
Nathpa Jhakri Dam
Nathpa Jhakri Dam is a major hydroelectric dam and power project in Himachal Pradesh, India, known as one of the country’s largest underground hydroelectric installations.
-
E.
Nangal Dam
Nangal Dam is a hydroelectric and irrigation dam located on the Sutlej River in the Indian state of Punjab.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622a84548190a66d45eec70f9b85 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60903f94819095dc90d6ce959017 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.