Triple
T16135058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نصب الشهيد |
E391501
|
entity |
| Predicate | الطراز_المعماري |
P607
|
FINISHED |
| Object | عمارة حداثية |
—
|
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: عمارة حداثية | Statement: [نصب الشهيد, الطراز_المعماري, عمارة حداثية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الطراز_المعماري Context triple: [نصب الشهيد, الطراز_المعماري, عمارة حداثية]
-
A.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
B.
architecturalStyle
chosen
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
-
C.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
D.
architectureName
Indicates the specific name or title assigned to an architecture.
-
E.
architectureProfileOf
Indicates that one entity serves as the architectural specification, style, or structural design profile that characterizes or defines another entity.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a04666c819091f36c5a2497d2e7 |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.