Triple
T954641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dar al-Islam |
E20598
|
entity |
| Predicate | hasSubConcept |
P21666
|
FINISHED |
| Object | lands newly conquered by Muslims |
—
|
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: lands newly conquered by Muslims | Statement: [Dar al-Islam, hasSubConcept, lands newly conquered by Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubConcept Context triple: [Dar al-Islam, hasSubConcept, lands newly conquered by Muslims]
-
A.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
B.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
C.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
D.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
-
E.
belongsToSubfamily
Indicates that one entity is a member of, or classified within, a specific subfamily of another 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3da8d508190b56b29d7f235d2c4 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a045308190ab94f3adab40db8d |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b30efd2c8190b780a6dee086d0aa |
completed | March 1, 2026, 9:43 p.m. |
Created at: March 1, 2026, 7:40 p.m.