Triple
T22526965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيدة القصر |
E556931
|
entity |
| Predicate | سنة الإنتاج التقريبية |
P112094
|
FINISHED |
| Object | أواخر الخمسينيات |
—
|
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: أواخر الخمسينيات | Statement: [سيدة القصر, سنة الإنتاج التقريبية, أواخر الخمسينيات]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سنة الإنتاج التقريبية Context triple: [سيدة القصر, سنة الإنتاج التقريبية, أواخر الخمسينيات]
-
A.
releaseApproximateYear
Indicates that an entity was released or made available around a specified year, where the year is approximate rather than exact.
-
B.
approximatePremiereYear
Indicates the estimated calendar year in which something, typically a work or event, first premiered.
-
C.
retitleApproxYear
Indicates that an entity was retitled or renamed around an approximate year, rather than at a precisely known date.
-
D.
approximateYearWritten
Indicates the estimated calendar year in which something was written, when the exact year is not known.
-
E.
yearOfProduction
chosen
Indicates the specific year in which an item, work, or product was created or manufactured.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.