Triple
T7761534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geumho River |
E176032
|
entity |
| Predicate | mouthLocatedIn |
P417
|
FINISHED |
| Object | Nakdong River |
E144467
|
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: Nakdong River | Statement: [Geumho River, mouthLocatedIn, Nakdong River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakdong River Context triple: [Geumho River, mouthLocatedIn, Nakdong River]
-
A.
Nakdong River
chosen
The Nakdong River is South Korea's longest river, flowing through the southeastern region and playing a crucial role in the country's history, ecology, and economy.
-
B.
Baram River
The Baram River is one of the largest rivers in northern Borneo, flowing through the Malaysian state of Sarawak to the South China Sea and supporting diverse indigenous communities and rainforest ecosystems.
-
C.
Minho River
The Minho River is a major river in the northwest of the Iberian Peninsula that forms part of the border between Spain and Portugal before flowing into the Atlantic Ocean.
-
D.
Yeong River
The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
-
E.
Yi River
The Yi River is a significant river in Shandong Province, China, known for flowing through the city of Linyi and its surrounding agricultural and historical regions.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70404c2108190ad2b900ac9bf582b |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e587067081909433d54263b79de6 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 4:09 p.m.