Triple
T11008301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitab al-Sunnah |
E260177
|
entity |
| Predicate | structureWithin |
P22287
|
FINISHED |
| Object | topical book (kitab) in Sunan Ibn Majah |
—
|
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: topical book (kitab) in Sunan Ibn Majah | Statement: [Kitab al-Sunnah, structureWithin, topical book (kitab) in Sunan Ibn Majah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureWithin Context triple: [Kitab al-Sunnah, structureWithin, topical book (kitab) in Sunan Ibn Majah]
-
A.
structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
B.
internalStructure
chosen
Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
-
C.
structureFocus
Indicates that attention or emphasis is placed on the structural aspects or organization of something within the described context.
-
D.
withinFeature
Indicates that one entity is spatially contained inside or lies entirely within the bounds of another feature.
-
E.
verticalStructure
Indicates a relationship where one entity is a structure that extends predominantly in the vertical direction relative to another reference or context.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.