Triple
T23853126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukkah |
E592226
|
entity |
| Predicate | roofMaterialMustBe |
P154191
|
FINISHED |
| Object | from plant matter |
—
|
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: from plant matter | Statement: [Sukkah, roofMaterialMustBe, from plant matter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofMaterialMustBe Context triple: [Sukkah, roofMaterialMustBe, from plant matter]
-
A.
roofMaterialTypical
Indicates the material that is most commonly or characteristically used for the roof of a given structure or building type.
-
B.
roofMaterialOriginal
Indicates the material that was originally used to construct the roof of a structure.
-
C.
roofCanBe
Indicates that something is capable of serving as or functioning as a roof for something else.
-
D.
hasTypeOfRoof
Indicates that an entity possesses or is characterized by a specific kind or style of roof.
-
E.
roofOptions
Indicates the available types or configurations of roofs that can be selected or applied to an entity.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c9887e5c819089437769acf684c4 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:11 p.m.