Triple
T12569820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domažlice District |
E295570
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kdyně |
E989266
|
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: Kdyně | Statement: [Domažlice District, contains, Kdyně]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kdyně Context triple: [Domažlice District, contains, Kdyně]
-
A.
Kdyně
chosen
Kdyně is a small town in the Plzeň Region of the Czech Republic, known for its location near the Bohemian Forest and its traditional West Bohemian character.
-
B.
Nosková
Nosková is a Czech surname, typically the feminine form of the surname Nosek.
-
C.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
-
D.
Kája
Kája is a Czech diminutive form of the given name Karel.
-
E.
Libuše
Libuše is a Czech opera by Bedřich Smetana, centered on the legendary princess Libuše who prophesies the glory of Prague and the Czech nation.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a422c88190a22cc34d2eac00ce |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb8ec888190b46a0b48840efd20 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 11:50 p.m.