Triple
T3116291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harangi Dam |
E65069
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Harangi River |
E375434
|
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: Harangi River | Statement: [Harangi Dam, watercourse, Harangi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harangi River Context triple: [Harangi Dam, watercourse, Harangi River]
-
A.
Harangi River
chosen
The Harangi River is a tributary of the Kaveri River in Karnataka, India, known for the Harangi Dam that supports irrigation and regional water management.
-
B.
Taehwa River
The Taehwa River is a major waterway in southeastern South Korea that flows through the industrial city of Ulsan and serves as an important ecological and recreational resource for the region.
-
C.
Geumho River
The Geumho River is a major tributary of the Nakdong River in South Korea, flowing through the city of Daegu and playing an important role in the region’s ecology and urban landscape.
-
D.
Suyeong River
The Suyeong River is a major waterway flowing through Busan, South Korea, known for its scenic riverside areas and proximity to key cultural and urban landmarks.
-
E.
Aa River
The Aa River is a waterway in northern France that flows through the town of Saint-Omer before emptying into the North Sea.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e5d1488190a2ab199625fdf05d |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488165eb48190ae5b080862919caf |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 8, 2026, 3:04 p.m.