Triple
T8434446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uprising of the 20,000 |
E199190
|
entity |
| Predicate | languageOfStrikers |
P83344
|
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: [Uprising of the 20,000, languageOfStrikers, Yiddish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfStrikers Context triple: [Uprising of the 20,000, languageOfStrikers, Yiddish]
-
A.
combatantLanguage
Indicates the language used by a combatant in a conflict or competitive interaction.
-
B.
languageOfYells
Indicates a relationship where a particular language is used as the medium or form of someone’s yelling or shouted expressions.
-
C.
languageOfLetters
Indicates that one entity is the language in which the other entity’s letters or written correspondence are composed.
-
D.
languageOfSeries
Indicates the language in which a series is primarily produced, presented, or officially released.
-
E.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
- F. None of above. chosen
Provenance (4 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:07 p.m.