Triple
T13846431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hron River |
E332816
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Hron |
E332816
|
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: Hron | Statement: [Hron River, nameVariant, Hron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hron Context triple: [Hron River, nameVariant, Hron]
-
A.
Hron
Hron is a major river in southern Slovakia known for its length, historical significance, and role in regional transport and recreation.
-
B.
Hron River
chosen
The Hron River is a major river in central Slovakia that flows through mountainous regions including the Low Tatras before joining the Danube.
-
C.
Drau
Drau is the German name for the Drava, a major river in Central and Southeastern Europe that flows through countries including Italy, Austria, Slovenia, and Croatia.
-
D.
Tyrnavos
Tyrnavos is a town in central Greece known for its agricultural production and traditional tsipouro distilleries, located in the Larissa regional unit of Thessaly.
-
E.
Rohe
Rohe is the surname of American actress and dancer Vera-Ellen, known for her roles in classic Hollywood musicals.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b1a25c8190a9f85ba43c421188 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ef9e7c8190b96c2b83d04708e1 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:13 p.m.