Triple
T22526868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الحرام |
E556927
|
entity |
| Predicate | مبني على |
P2012
|
FINISHED |
| Object | رواية أدبية مصرية |
—
|
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: رواية أدبية مصرية | Statement: [الحرام, مبني على, رواية أدبية مصرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مبني على Context triple: [الحرام, مبني على, رواية أدبية مصرية]
-
A.
builtOn
chosen
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
-
B.
isBuildingOf
Indicates that one entity is a building that belongs to, houses, or is associated with another entity (such as an organization, institution, or complex).
-
C.
builtStructureFor
Indicates that one entity constructed or assembled a structure specifically intended for the use, benefit, or purpose of another entity.
-
D.
refersToBuildingOn
Indicates that one entity explicitly references or designates a specific building as its subject or target.
-
E.
locatedOnBuilding
Indicates that one entity is physically situated on the exterior or rooftop surface of a building.
- 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.