Triple
T8597486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frýdek |
E203586
|
entity |
| Predicate | nearbyEntity |
P39585
|
FINISHED |
| Object | Místek |
E746324
|
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: Místek | Statement: [Frýdek, nearbyEntity, Místek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Místek Context triple: [Frýdek, nearbyEntity, Místek]
-
A.
Místek
chosen
Místek is a town in the Czech Republic that now forms part of the city of Frýdek-Místek following their administrative merger.
-
B.
Mukalla
Mukalla is a major port city on Yemen’s southern coast and the capital of the Hadhramaut Governorate.
-
C.
Tivissa
Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
-
D.
Ostredok
Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
-
E.
Munirka
Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebba872b8819098ba7525944bcce1 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:24 p.m.