Triple
T31209286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcel Breuer and Associates |
E795690
|
entity |
| Predicate | usedMaterialExtensively |
P132991
|
FINISHED |
| Object | reinforced concrete |
—
|
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: reinforced concrete | Statement: [Marcel Breuer and Associates, usedMaterialExtensively, reinforced concrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedMaterialExtensively Context triple: [Marcel Breuer and Associates, usedMaterialExtensively, reinforced concrete]
-
A.
usedOver
Indicates that one entity has been utilized, applied, or consumed in relation to another entity, typically as a resource, medium, or tool in a particular context or period.
-
B.
intensiveUse
chosen
Indicates a relationship where an entity is used in a concentrated, frequent, or high-intensity manner by another entity.
-
C.
endedUseWith
Indicates that an entity has stopped or terminated its use or association with another entity.
-
D.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
E.
hasExtensive
Indicates that one entity possesses a large, wide-ranging, or comprehensive amount or degree of another entity or attribute.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c25dff481908c9ecd0bfa358a6f |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:09 p.m.