Triple
T14096156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | باب الأسباط |
E339257
|
entity |
| Predicate | مادة البناء |
P112810
|
FINISHED |
| Object | حجارة كلسية مقدسية |
—
|
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: حجارة كلسية مقدسية | Statement: [باب الأسباط, مادة البناء, حجارة كلسية مقدسية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مادة البناء Context triple: [باب الأسباط, مادة البناء, حجارة كلسية مقدسية]
-
A.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
B.
ballConstruction
Indicates that an entity is involved in the process or method of constructing or manufacturing a ball.
-
C.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
D.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
-
E.
lighthouseConstructionMaterial
Indicates the material from which a lighthouse is built or primarily constructed.
- F. None of above. chosen
Provenance (4 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.