Triple
T10415972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PPG Industries |
E245516
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | PPG Aerospace |
E245516
|
NE 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 Aerospace | Statement: [PPG Industries, hasDivision, PPG Aerospace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PPG Aerospace Context triple: [PPG Industries, hasDivision, PPG Aerospace]
-
A.
PPG Industries
chosen
PPG Industries is a global American company specializing in paints, coatings, and specialty materials for industrial, commercial, and consumer markets.
-
B.
PPG
PPG is the IATA airport code for Pago Pago International Airport, the main air gateway to American Samoa.
-
C.
Collins Aerospace
Collins Aerospace is a major American aerospace and defense company that designs and manufactures advanced avionics, aircraft systems, and related technologies for commercial, military, and space applications.
-
D.
Rockwell International
Rockwell International was a major American manufacturing conglomerate best known in aerospace for building the Space Shuttle orbiters and contributing extensively to U.S. defense and space programs.
-
E.
Spirit AeroSystems
Spirit AeroSystems is one of the world’s largest non-OEM designers and manufacturers of aerostructures for commercial and defense aircraft.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea108fec8190819423630888fa2b |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc0dd480819082edcc49a245ad4f |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:10 p.m.