Triple
T1655709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walker Art Center |
E35793
|
entity |
| Predicate | buildingRenovation |
P3322
|
FINISHED |
| Object | 2005 expansion by Herzog & de Meuron |
—
|
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: 2005 expansion by Herzog & de Meuron | Statement: [Walker Art Center, buildingRenovation, 2005 expansion by Herzog & de Meuron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingRenovation Context triple: [Walker Art Center, buildingRenovation, 2005 expansion by Herzog & de Meuron]
-
A.
renovationFeature
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
-
B.
renovationPurpose
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
-
C.
hasRenovation
chosen
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
D.
architectOfRenovation
Indicates that one entity is the architect responsible for designing or overseeing the renovation of another entity.
-
E.
buildingCondition
Indicates the physical state or quality of a building, such as how well it is preserved, maintained, or structurally sound.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.