Triple
T10088438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Třešť |
E215279
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Telč |
E695949
|
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: Telč | Statement: [Třešť, roadConnectionTo, Telč]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telč Context triple: [Třešť, roadConnectionTo, Telč]
-
A.
Telč
chosen
Telč is a historic Czech town renowned for its well-preserved Renaissance and Baroque square, which is listed as a UNESCO World Heritage Site.
-
B.
Ptuj
Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
-
C.
Lučenec
Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
-
D.
Tatura
Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
-
E.
Lovech
Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd057e32881908bf630559af94906 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cbd822a08190841e51862e5e1e27 |
completed | April 5, 2026, 8:53 p.m. |
Created at: March 30, 2026, 9:01 p.m.