Triple
T3059234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of the History of Religion and Atheism |
E60554
|
entity |
| Predicate | buildingFunctionDuring |
P44843
|
FINISHED |
| Object | museum space |
—
|
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: museum space | Statement: [Museum of the History of Religion and Atheism, buildingFunctionDuring, museum space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingFunctionDuring Context triple: [Museum of the History of Religion and Atheism, buildingFunctionDuring, museum space]
-
A.
constructedDuring
Indicates that one entity was built or created within the time period defined by another entity or event.
-
B.
buildingComplex
Indicates a relationship where multiple buildings are grouped and function together as a single integrated complex.
-
C.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
-
D.
buildingConstructionStart
Indicates the point in time when the construction work on a building begins.
-
E.
buildingSection
Indicates a relationship where one entity is a specific section, part, or subdivision of a larger building.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e1741648190b710b7022252498d |
completed | March 8, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.