Triple
T21261629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yom River |
E524016
|
entity |
| Predicate | mouthLocation |
P417
|
FINISHED |
| Object | Nan 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: Nan River | Statement: [Yom River, mouthLocation, Nan River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nan River Context triple: [Yom River, mouthLocation, Nan River]
-
A.
Nan River
chosen
The Nan River is a major river in northern Thailand that flows southward to form one of the principal headwaters of the Chao Phraya River system.
-
B.
Nanay River
The Nanay River is a tributary of the Amazon River in northern Peru, flowing through the Loreto Region and alongside the city of Iquitos.
-
C.
Ngadda River
The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
-
D.
La Ngà River
La Ngà River is a significant waterway in southern Vietnam that flows through several provinces and contributes to the Đồng Nai River basin’s agriculture, fisheries, and hydropower.
-
E.
Bago River
The Bago River is a significant waterway in southern Myanmar that flows near the city of Bago and joins the Yangon River system, contributing to the region’s transport and agriculture.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e899e081909d3c98fb12a8b476 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 3:59 p.m.