Triple
T10636785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldenberg House |
E250601
|
entity |
| Predicate | hasMateriality |
P1845
|
FINISHED |
| Object | contemporary construction materials |
—
|
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: contemporary construction materials | Statement: [Goldenberg House, hasMateriality, contemporary construction materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMateriality Context triple: [Goldenberg House, hasMateriality, contemporary construction materials]
-
A.
hasMaterialAspect
Indicates that something possesses a physical or tangible component or aspect as part of its overall nature or existence.
-
B.
hasMaterialEvidence
Indicates that there exists tangible, physical evidence supporting or associated with a particular entity, event, or claim.
-
C.
hasMaterialType
chosen
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
hasMaterialImport
Indicates that one entity has another entity as a significant or primary material used in its composition or production.
-
E.
hasMaterialOption
Indicates that an entity can be made from, or is available in, one or more alternative materials.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfad9dbc81909a4f78d93ecfaa20 |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:04 p.m.