Triple
T9876198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svitava |
E240078
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Adamov |
E696659
|
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: Adamov | Statement: [Svitava, flowsThrough, Adamov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adamov Context triple: [Svitava, flowsThrough, Adamov]
-
A.
Adamov
chosen
Adamov is a small industrial town in the South Moravian Region of the Czech Republic, situated in a forested valley north of Brno.
-
B.
Andrej
Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
-
C.
Eliáš
Eliáš is a Czech surname most notably borne by former NHL star Patrik Eliáš.
-
D.
Adam Buksa
Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
-
E.
Matej
Matej is a masculine given name commonly used in Slavic countries, equivalent to Matthew in English.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3fb58d481908407898912c4b4e9 |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e47b62388190a033743376500375 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:37 p.m.