Triple
T2111612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gehry Tower |
E42514
|
entity |
| Predicate | façadeSystem |
P31596
|
FINISHED |
| Object | metal cladding |
—
|
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: metal cladding | Statement: [Gehry Tower, façadeSystem, metal cladding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: façadeSystem Context triple: [Gehry Tower, façadeSystem, metal cladding]
-
A.
façadeDescription
Indicates a textual description that characterizes the appearance, style, or features of a building’s façade.
-
B.
façadeType
chosen
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
C.
facadeFeature
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
-
D.
façadeOrientation
Indicates the directional orientation that a building’s façade faces relative to a reference (e.g., cardinal directions or a main street).
-
E.
façadeInscriptionTextWelsh
Indicates that the text inscribed on a façade is written in Welsh.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0369a88190af02f0e4e05e2511 |
completed | March 7, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_69abb7ba08948190a3c236bb53ee4257 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.