Triple
T34911759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigismund |
E1006887
|
entity |
| Predicate | hasCzechForm |
P17790
|
FINISHED |
| Object | Zikmund |
—
|
NE NERFINISHED |
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: Zikmund | Statement: [Sigismund, hasCzechForm, Zikmund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCzechForm Context triple: [Sigismund, hasCzechForm, Zikmund]
-
A.
hasFeminineFormInCzechAndSlovak
Indicates that an entity has a specifically feminine grammatical or lexical form in the Czech and Slovak languages.
-
B.
hasAbbreviationInCzech
Indicates that an entity has a specific abbreviation or shortened form when expressed in the Czech language.
-
C.
czechName
chosen
Indicates that an entity has a name in the Czech language, specifying the Czech-language form of its name.
-
D.
hasCzechStage
Indicates that an entity has a stage, version, or representation specifically in the Czech language or within a Czech context.
-
E.
hasLanguageFormOf
Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
- F. None of above.
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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.