Triple
T15099974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sajó River |
E360637
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Slaná |
E847787
|
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: Slaná | Statement: [Sajó River, knownAs, Slaná]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slaná Context triple: [Sajó River, knownAs, Slaná]
-
A.
Slaná
chosen
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
B.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
C.
Vodňany
Vodňany is a small historic town in the South Bohemian Region of the Czech Republic, known for its traditional fishpond farming and picturesque rural character.
-
D.
Lesná
Lesná is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
-
E.
Třemošná
Třemošná is a small town in the western Czech Republic, located near the city of Plzeň in the Plzeň 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00550007481909e02ee1d597a4d37 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b340900819093aa210b702f124b |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:04 a.m.