Triple
T12659815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haro River |
E302387
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object | Khanpur 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: Khanpur Dam | Statement: [Haro River, hasDam, Khanpur Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khanpur Dam Context triple: [Haro River, hasDam, Khanpur Dam]
-
A.
Nangal Dam
Nangal Dam is a hydroelectric and irrigation dam located on the Sutlej River in the Indian state of Punjab.
-
B.
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.
-
C.
Satpara Dam
Satpara Dam is a multipurpose concrete dam in Gilgit-Baltistan, Pakistan, built to generate hydroelectric power, provide irrigation, and supply drinking water using the waters of Satpara Lake.
-
D.
Bisalpur Dam
Bisalpur Dam is a major reservoir and water supply dam in Rajasthan, India, crucial for providing drinking water and irrigation to several nearby cities and regions.
-
E.
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.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66885e44c8190a650301b0e86d0f4 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:19 p.m.