Triple
T20087704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josef Gočár |
E496178
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Semín |
—
|
NE NERFINISHED |
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: Semín | Statement: [Josef Gočár, placeOfBirth, Semín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semín Context triple: [Josef Gočár, placeOfBirth, Semín]
-
A.
Semín
chosen
Semín is a small village in the Pardubice Region of the Czech Republic, known as the birthplace of architect Josef Gočár.
-
B.
Semnoz
Semnoz is a mountain in the French Alps known for its panoramic views over Lake Annecy and its popular hiking, skiing, and cycling routes.
-
C.
Seme
Seme is a border town between Nigeria and Benin that serves as a major West African road crossing and trade route.
-
D.
Šmicer
Šmicer is a Czech surname most notably associated with former professional footballer Vladimír Šmicer, who played for clubs such as Slavia Prague and Liverpool and represented the Czech national team.
-
E.
Šindel
Šindel is a Czech surname most notably associated with Jan Šindel, a medieval astronomer, mathematician, and physician at the court of Holy Roman Emperor Charles IV.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655c7de081909a400c736e92495d |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 11:13 p.m.