Triple
T4797855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň main railway station |
E106755
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Cheb |
E207504
|
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: Cheb | Statement: [Plzeň main railway station, connectsTo, Cheb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheb Context triple: [Plzeň main railway station, connectsTo, Cheb]
-
A.
Cheb
chosen
Cheb is a historic town in the Czech Republic known for its well-preserved medieval architecture and strategic location near the German border.
-
B.
Checca
Checca is an Italian diminutive form of the female given name Francesca, commonly used as an affectionate nickname.
-
C.
Chet
Chet is a jazz album by trumpeter and vocalist Chet Baker, celebrated for its lyrical, introspective ballad performances.
-
D.
Chaka
"Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
-
E.
Chale
Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43f8d9548190857910be4ffc2711 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.