Triple
T4311585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Structural Transformation of the Public Sphere |
E94085
|
entity |
| Predicate | englishTranslationYear |
P17648
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [The Structural Transformation of the Public Sphere, englishTranslationYear, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishTranslationYear Context triple: [The Structural Transformation of the Public Sphere, englishTranslationYear, 1989]
-
A.
firstEnglishTranslationYear
chosen
Indicates the year in which an entity was first translated into English.
-
B.
EnglishTranslation
Indicates that one expression is the English-language translation equivalent of another expression.
-
C.
EnglishEditionPublicationYear
Indicates the calendar year in which the English-language edition of a work was first published.
-
D.
translationPublicationDate
Indicates the date on which a translated version of a work was published.
-
E.
year
Indicates the specific calendar year associated with an entity, event, or fact.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d6cba08190a9440cee7b9dc40d |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:11 p.m.