Triple
T25347104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Death and Life of Great American Cities |
E635578
|
entity |
| Predicate | opposesIdeasOf |
P64120
|
FINISHED |
| Object | Le Corbusier |
—
|
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: Le Corbusier | Statement: [The Death and Life of Great American Cities, opposesIdeasOf, Le Corbusier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposesIdeasOf Context triple: [The Death and Life of Great American Cities, opposesIdeasOf, Le Corbusier]
-
A.
hasOpposedIdea
chosen
Indicates that one entity holds an idea that conflicts with, contradicts, or stands in opposition to the idea held by another entity.
-
B.
opposingIdeology
Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
-
C.
theoryOpposed
Indicates that one theory stands in opposition to, or conflicts with, another theory.
-
D.
opposesIdentity
Indicates that one entity actively rejects, resists, or stands in opposition to the identity, self-conception, or defining characteristics of another entity.
-
E.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 1:34 p.m.