Triple
T8990178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minbar of the Prophet |
E214767
|
entity |
| Predicate | hasArchitecturalContext |
P6684
|
FINISHED |
| Object | interior of Prophet's Mosque |
—
|
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: interior of Prophet's Mosque | Statement: [Minbar of the Prophet, hasArchitecturalContext, interior of Prophet's Mosque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArchitecturalContext Context triple: [Minbar of the Prophet, hasArchitecturalContext, interior of Prophet's Mosque]
-
A.
hasArchType
Indicates that one entity possesses or is characterized by a particular architectural type or style.
-
B.
hasArchitecturalFeature
chosen
Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
-
C.
hasArchitectureBy
Indicates that an entity’s architectural design was created or authored by a specified architect or architectural firm.
-
D.
hasArchetype
Indicates that one entity serves as the original model, pattern, or prototype upon which another entity is based or conceptually derived.
-
E.
hasPlanningContext
Indicates that an entity is associated with a specific planning-related situation, scope, or set of conditions that frame how it should be interpreted or used.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68733548819096a5ba0ff41e43da |
completed | April 1, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.