Triple
T14499113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karel IV. |
E359582
|
entity |
| Predicate | madePrague |
P114469
|
FINISHED |
| Object | major political center of Europe |
—
|
LITERAL 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: major political center of Europe | Statement: [Karel IV., madePrague, major political center of Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madePrague Context triple: [Karel IV., madePrague, major political center of Europe]
-
A.
directionFromPrague
Indicates the cardinal or relative compass direction in which one entity is located from Prague.
-
B.
movedHeadquartersToPrague
Indicates that an entity relocated its main headquarters to the city of Prague.
-
C.
distanceFromPragueKmApprox
Indicates an approximate distance, measured in kilometers, between a given entity and the city of Prague.
-
D.
czechName
Indicates that an entity has a name in the Czech language, specifying the Czech-language form of its name.
-
E.
Warsaw Old Town
Indicates the relationship of being located in or associated with the historic central district known as Warsaw Old Town.
- F. None of above. chosen
Provenance (4 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.