Triple
T16135082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نصب الشهيد |
E391501
|
entity |
| Predicate | صنف_كـ |
P87
|
FINISHED |
| Object | معلم تراثي حديث |
—
|
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: معلم تراثي حديث | Statement: [نصب الشهيد, صنف_كـ, معلم تراثي حديث]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: صنف_كـ Context triple: [نصب الشهيد, صنف_كـ, معلم تراثي حديث]
-
A.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
B.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
C.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
D.
classificationStart
Indicates the point in time or process at which a classification or categorization of an entity begins.
-
E.
classificationRole
Indicates that one entity serves as a classificatory role or type used to categorize or group 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.