Triple
T20533978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburgh Plate Glass Company |
E504142
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | PPG |
—
|
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: PPG | Statement: [Pittsburgh Plate Glass Company, hasAbbreviation, PPG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PPG Context triple: [Pittsburgh Plate Glass Company, hasAbbreviation, PPG]
-
A.
PPG
PPG is the IATA airport code for Pago Pago International Airport, the main air gateway to American Samoa.
-
B.
PPG Industries
chosen
PPG Industries is a global American company specializing in paints, coatings, and specialty materials for industrial, commercial, and consumer markets.
-
C.
Sherwin-Williams Company
Sherwin-Williams Company is a major American paint and coatings manufacturer and retailer known for its extensive line of architectural and industrial finishes sold worldwide.
-
D.
AkzoNobel
AkzoNobel is a multinational Dutch company specializing in paints, coatings, and specialty chemicals, known as one of the world’s leading producers in its industry.
-
E.
Saint-Gobain
Saint-Gobain is a major French multinational corporation specializing in the production and distribution of construction materials and high-performance solutions for buildings and industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:37 a.m.