Triple
T19647086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunca River |
E471701
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Tundzha |
—
|
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: Tundzha | Statement: [Tunca River, alsoKnownAs, Tundzha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tundzha Context triple: [Tunca River, alsoKnownAs, Tundzha]
-
A.
Tundzha River
chosen
The Tundzha River is a significant river in southeastern Europe that flows through Bulgaria and Turkey before joining the Maritsa River.
-
B.
Barsheni
Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
-
C.
Tundzha Valley
Tundzha Valley is a river valley in southeastern Europe shaped by the Tundzha River, known for its fertile plains and agricultural landscapes in Bulgaria and neighboring regions.
-
D.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
E.
Devnya
Devnya is an industrial town in northeastern Bulgaria known for its large chemical and cement plants and its location near the Black Sea port city of Varna.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64125dd9481908a891c71c975a964 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.