Triple
T26209036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Library of Ahmed III |
E655432
|
entity |
| Predicate | locatedInComplexSection |
P94409
|
FINISHED |
| Object | Third Courtyard of Topkapi Palace |
—
|
NE NERFINISHED |
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: Third Courtyard of Topkapi Palace | Statement: [Library of Ahmed III, locatedInComplexSection, Third Courtyard of Topkapi Palace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInComplexSection Context triple: [Library of Ahmed III, locatedInComplexSection, Third Courtyard of Topkapi Palace]
-
A.
locationOfTypeSection
Indicates that a particular location is designated as the section or area associated with a specific type or category.
-
B.
locatedInSectionOfBuilding
chosen
Indicates that one entity is situated within a specific section or area of a building.
-
C.
usesSectionOf
Indicates that one entity makes use of a specific section or part of another entity.
-
D.
housedWithinComplex
Indicates that one entity is located inside and functionally part of a larger building or facility complex.
-
E.
coveredSectionsLocation
Indicates the specific location or area where the covered sections are situated or applied.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: April 26, 2026, 8:51 p.m.