Triple
T4958459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula |
E111344
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Upa River |
E487616
|
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: Upa River | Statement: [Tula, locatedOn, Upa River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upa River Context triple: [Tula, locatedOn, Upa River]
-
A.
Upa River
chosen
The Upa River is a waterway in western Russia that flows through Tula Oblast and serves as a tributary of the Oka River.
-
B.
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.
-
C.
Se Kong River
The Se Kong River is a major tributary of the Mekong River that flows through Laos, Vietnam, and Cambodia, supporting regional ecosystems and local livelihoods.
-
D.
Naga River
Naga River is a waterway associated with the Naga region, serving as a local riverine feature in that area.
-
E.
Nam Ngum River
The Nam Ngum River is a significant river in Laos known for its large hydropower dam and reservoir, which play a key role in the country’s electricity production and irrigation.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d834c0819087f3faafdc9b4228 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0daa53481908c705ca3698ab777 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:32 p.m.