Triple
T14237873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borås |
E352932
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Viskan |
E552087
|
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: Viskan | Statement: [Borås, hasRiver, Viskan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viskan Context triple: [Borås, hasRiver, Viskan]
-
A.
Viskan
chosen
Viskan is a river in southwestern Sweden that flows through the province of Halland into the Kattegat.
-
B.
Viskuli
Viskuli is a government hunting lodge in the Białowieża Forest of Belarus, historically significant as the site where the leaders of Russia, Ukraine, and Belarus signed the Belavezha Accords dissolving the Soviet Union.
-
C.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
-
D.
Oliena
Oliena is a historic town in central Sardinia, Italy, known for its traditional Barbagia culture, mountainous landscapes, and renowned Nepente di Oliena wine.
-
E.
Viskase
Viskase is a manufacturing company best known for producing cellulose and plastic casings used in the global meat and poultry processing industry.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281f80548190ad489c418f27e82c |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.