Triple
T15895259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huzur |
E385436
|
entity |
| Predicate | yearOfEnglishTranslation |
P24631
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Huzur, yearOfEnglishTranslation, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfEnglishTranslation Context triple: [Huzur, yearOfEnglishTranslation, 2008]
-
A.
firstEnglishTranslationYear
Indicates the year in which an entity was first translated into English.
-
B.
EnglishEditionPublicationYear
chosen
Indicates the calendar year in which the English-language edition of a work was first published.
-
C.
dateOfTranslation
Indicates the specific date on which a translation of a work or text was completed or officially produced.
-
D.
translationYear
Indicates the year in which something (typically a work or text) was translated into another language.
-
E.
firstBookEnglishPublicationYear
Indicates the calendar year in which an entity’s first book was originally published in English.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.