Triple
T35973849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szilágy County |
E1040358
|
entity |
| Predicate | historicalLanguageCommunities |
P106031
|
FINISHED |
| Object | Hungarian speakers |
—
|
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: Hungarian speakers | Statement: [Szilágy County, historicalLanguageCommunities, Hungarian speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalLanguageCommunities Context triple: [Szilágy County, historicalLanguageCommunities, Hungarian speakers]
-
A.
historicalLanguageOfBearers
Indicates that the specified language is historically spoken or used by the bearers of a given name, title, or designation.
-
B.
historicalMinorityLanguage
chosen
Indicates that a language has historically been used by a minority group within a given region or population, even if it may no longer be widely spoken there.
-
C.
historicalLanguageCenter
Indicates that a location has served as a significant hub or focal point for the development, use, or study of a particular language in the past.
-
D.
historicalLanguageGroup
Indicates that two or more entities belong to the same historically defined language group or family, based on shared linguistic ancestry or development.
-
E.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00d08e8fac8190b59359134e6e1c03 |
completed | May 10, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_6a00d0127c088190a6f5b360450af113 |
completed | May 10, 2026, 6:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.