Triple
T2929819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagano |
E78933
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Sai River |
E332312
|
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: Sai River | Statement: [Nagano, hasRiver, Sai River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sai River Context triple: [Nagano, hasRiver, Sai River]
-
A.
Sai River
chosen
The Sai River is a Japanese river that serves as a significant tributary within the Shinano River system, contributing to the hydrology of central Honshu.
-
B.
Banjar River
The Banjar River is a significant tributary in central India that feeds into the Narmada River system.
-
C.
Sei River
The Sei River is a smaller watercourse in western India that feeds into the Sabarmati River within the arid and semi-arid landscape of Rajasthan and Gujarat.
-
D.
Loa River
The Loa River is the longest river in Chile, flowing in a great arc through the Atacama Desert to the Pacific Ocean.
-
E.
Seti River
The Seti River is a Himalayan river in western Nepal known for its deep gorges, milky-white waters, and role in feeding larger river systems of the region.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98002da4819098d6448eebcafad4 |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276cc19b48190a952015c9e501dd6 |
completed | March 12, 2026, 8:18 a.m. |
Created at: March 8, 2026, 2:55 p.m.