Triple
T9400486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miroslav Tyrš |
E226453
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Oetz |
E462711
|
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: Oetz | Statement: [Miroslav Tyrš, placeOfDeath, Oetz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oetz Context triple: [Miroslav Tyrš, placeOfDeath, Oetz]
-
A.
Oetz
chosen
Oetz is a picturesque alpine village and popular tourist resort in the Tyrolean Ötztal region of western Austria, known for skiing, hiking, and outdoor recreation.
-
B.
Mittersill
Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
-
C.
Arnegg
Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
-
D.
Brunico
Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
-
E.
Ischl
The Ischl is a river in Upper Austria that flows through the spa town of Bad Ischl before joining the Traun.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5156b9588190bafb6b1c3ee3c0ed |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1079798048190a1bd5318df4b1649 |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:46 p.m.