Triple
T20533990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburgh Plate Glass Company |
E504142
|
entity |
| Predicate | hasCorporateHeritage |
P122059
|
FINISHED |
| Object | PPG Industries brand |
—
|
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: PPG Industries brand | Statement: [Pittsburgh Plate Glass Company, hasCorporateHeritage, PPG Industries brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCorporateHeritage Context triple: [Pittsburgh Plate Glass Company, hasCorporateHeritage, PPG Industries brand]
-
A.
hasBusinessHeritage
chosen
Indicates that an entity possesses a historical or traditional connection to a particular business, company, or commercial lineage.
-
B.
hasHeritageBrand
Indicates that an entity is associated with or recognized as a long-established, traditional, or historically significant brand.
-
C.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
D.
hasHeritageOrganization
Indicates that an entity is associated with, or belongs to, a particular heritage-related organization.
-
E.
hasIndustrialHeritage
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06d30508190a13d1a9855b441fb |
completed | April 20, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:37 a.m.