Triple
T18767110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambuklao Dam |
E458920
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Agno River |
—
|
NE NERFINISHED |
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: Agno River | Statement: [Ambuklao Dam, river, Agno River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agno River Context triple: [Ambuklao Dam, river, Agno River]
-
A.
Agno River
chosen
The Agno River is one of the largest river systems in the Philippines, flowing through the Cordillera and Central Luzon regions before emptying into the Lingayen Gulf.
-
B.
Kahayan River
The Kahayan River is a major river in Indonesian Borneo that flows through Central Kalimantan, serving as an important waterway for transportation, livelihoods, and regional ecology.
-
C.
Arinos River
The Arinos River is a significant waterway in central-western Brazil that flows through the state of Mato Grosso and contributes to the Amazon Basin.
-
D.
Kalimyo River
The Kalimyo River is a waterway in western Myanmar whose mouth is at the coastal city of Sittwe on the Bay of Bengal.
-
E.
Upa River
The Upa River is a waterway in western Russia that flows through Tula Oblast and serves as a tributary of the Oka River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d859c8081909cec3aa64d264885 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.