Triple
T30975331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neidenburg |
E789214
|
entity |
| Predicate | currentLanguageOfName |
P167563
|
FINISHED |
| Object | Polish |
—
|
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: Polish | Statement: [Neidenburg, currentLanguageOfName, Polish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentLanguageOfName Context triple: [Neidenburg, currentLanguageOfName, Polish]
-
A.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
-
B.
parentLanguageName
Indicates the name of the language from which another language is derived or to which it is linguistically subordinate.
-
C.
nativeLanguageFamilyName
Indicates the name of the language family to which an entity’s native language belongs.
-
D.
canonicalLanguage
chosen
Indicates that one entity is the officially recognized or standard language associated with another entity.
-
E.
alternateLanguageName
Indicates that an entity has an additional name or label in a different language from its primary or default name.
- 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 29, 2026, 8:55 p.m.