Triple
T10933639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukhara school of Islamic theology |
E258271
|
entity |
| Predicate | hasCenterType |
P96706
|
FINISHED |
| Object | madrasa-based scholarly networks |
—
|
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: madrasa-based scholarly networks | Statement: [Bukhara school of Islamic theology, hasCenterType, madrasa-based scholarly networks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCenterType Context triple: [Bukhara school of Islamic theology, hasCenterType, madrasa-based scholarly networks]
-
A.
hasCenterIn
Indicates that something is located, based, or primarily focused within a specified central place or area.
-
B.
hasCenterStatus
Indicates that an entity holds a designated central role, position, or status within a system, organization, or structure.
-
C.
hasCenterColor
Indicates that an entity possesses a central region whose color is specified or characterized.
-
D.
hasKeyCenter
Indicates that one entity serves as the primary tonal or central pitch reference (key center) for another entity, such as a musical passage or composition.
-
E.
hasCentralRelationshipType
Indicates that there exists a primary or most significant type of relationship that characterizes how two entities are related to each other.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ae073881909720febe9f5f296a |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.