Triple
T34911764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigismund |
E1006887
|
entity |
| Predicate | hasCroatianForm |
P29131
|
FINISHED |
| Object | Žigmund |
—
|
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: Žigmund | Statement: [Sigismund, hasCroatianForm, Žigmund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCroatianForm Context triple: [Sigismund, hasCroatianForm, Žigmund]
-
A.
localNameInCroatian
chosen
Indicates that the specified name is the local or native name of an entity when expressed in the Croatian language.
-
B.
hasLanguageFormOf
Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
-
C.
hasNameInBosnianCyrillic
Indicates that an entity is associated with a specific name written in Bosnian Cyrillic script.
-
D.
hasFeminineFormInCzechAndSlovak
Indicates that an entity has a specifically feminine grammatical or lexical form in the Czech and Slovak languages.
-
E.
fullNameInCroatian
Indicates that one entity is the full, correctly written version of another entity’s name in the Croatian language.
- 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_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4 p.m.