Triple
T18387491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izbica, Lublin Voivodeship, Poland |
E446629
|
entity |
| Predicate | historicalLanguagesSpoken |
P29176
|
FINISHED |
| Object | Yiddish |
—
|
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: Yiddish | Statement: [Izbica, Lublin Voivodeship, Poland, historicalLanguagesSpoken, Yiddish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalLanguagesSpoken Context triple: [Izbica, Lublin Voivodeship, Poland, historicalLanguagesSpoken, Yiddish]
-
A.
historicallySpokenIn
Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
-
B.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
-
C.
historicalLanguageRegion
chosen
Indicates that a language was historically spoken or used within a particular geographic region, regardless of its current status there.
-
D.
languageOfHistoricalRecord
Indicates the language in which a given historical record is written or recorded.
-
E.
historicallySpoke
Indicates that an entity used a particular language as a spoken language during some period in the past.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.