Triple
T3701474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aon Center |
E78587
|
entity |
| Predicate | currentFacadeMaterial |
P19176
|
FINISHED |
| Object | white granite |
—
|
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: white granite | Statement: [Aon Center, currentFacadeMaterial, white granite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentFacadeMaterial Context triple: [Aon Center, currentFacadeMaterial, white granite]
-
A.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
B.
façadeType
Indicates the specific kind or style of façade that characterizes or is applied to a building or structure.
-
C.
frontageMaterial
Indicates the material used on the exterior front-facing surface of a structure or property.
-
D.
exteriorMaterial
chosen
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
E.
facadeFeature
Indicates that one element functions as a distinct architectural or design feature on the façade of another structure.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc547c1848190a1ece46c59b7c43d |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adb84eeca48190bb4de637e9f0e27a |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.