Triple
T35490162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottendorfer Library |
E1025710
|
entity |
| Predicate | hasBuildingFacade |
P31596
|
FINISHED |
| Object | ornamented masonry facade |
—
|
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: ornamented masonry facade | Statement: [Ottendorfer Library, hasBuildingFacade, ornamented masonry facade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingFacade Context triple: [Ottendorfer Library, hasBuildingFacade, ornamented masonry facade]
-
A.
façadeConstruction
Indicates the action or process of constructing, assembling, or installing the exterior façade of a building or structure.
-
B.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
C.
façadeHeight
Indicates the vertical extent or measurement of the front-facing exterior surface of a structure.
-
D.
façadeType
chosen
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
E.
façadeCompletionYear
Indicates the year in which the façade of a structure or building was completed.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:04 p.m.