Triple
T12138831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berounka |
E289129
|
entity |
| Predicate | hasLeftTributary |
P415
|
FINISHED |
| Object | Litavka |
E777332
|
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: Litavka | Statement: [Berounka, hasLeftTributary, Litavka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Litavka Context triple: [Berounka, hasLeftTributary, Litavka]
-
A.
Litavka
chosen
Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
-
B.
Chrudimka
Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
-
C.
Lipnik
Lipnik is a village and administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
-
D.
Lipnik
Lipnik is a locality in present-day Poland historically known as the birthplace of renowned pianist and composer Artur Schnabel.
-
E.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158eef48819083bdce283a363414 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e4a573c8190b5dd6cc61849739b |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:49 p.m.