Triple
T4297056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Mach |
E99739
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Chirlitz-Turas, Moravia |
E99739
|
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: Chirlitz-Turas, Moravia | Statement: [Ernst Mach, birthPlace, Chirlitz-Turas, Moravia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chirlitz-Turas, Moravia Context triple: [Ernst Mach, birthPlace, Chirlitz-Turas, Moravia]
-
A.
Chirlitz-Turas, Moravia
chosen
Chirlitz-Turas, Moravia is a locality in the historical region of Moravia, now part of the Czech Republic, known as the birthplace of physicist and philosopher Ernst Mach.
-
B.
Broumov
Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
-
E.
Ruzyně
Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509aebd48190af38f2e37f07869a |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c7439b3481908d2554f7b86002aa |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:08 p.m.