Triple
T29825802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Study of Perspective – Reichstag |
E757372
|
entity |
| Predicate | buildingDepicted |
P168189
|
FINISHED |
| Object | Reichstag |
—
|
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: Reichstag | Statement: [Study of Perspective – Reichstag, buildingDepicted, Reichstag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingDepicted Context triple: [Study of Perspective – Reichstag, buildingDepicted, Reichstag]
-
A.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
-
B.
buildingStructure
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
-
C.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
D.
buildingInvolved
Indicates that a particular building participates in, is affected by, or is otherwise relevant to the specified event or relationship.
-
E.
buildingNamed
Indicates that a particular building is known or referred to by a specified name.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67597ec4081909c0b453a69f14c28 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 5:31 p.m.