Triple
T14038757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilkington |
E337781
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Pilkington Automotive |
E337781
|
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: Pilkington Automotive | Statement: [Pilkington, hasSubsidiary, Pilkington Automotive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilkington Automotive Context triple: [Pilkington, hasSubsidiary, Pilkington Automotive]
-
A.
Pilkington glass company
chosen
Pilkington glass company is a major British glass manufacturer renowned for pioneering the float glass process and supplying glass products worldwide.
-
B.
Corning
Corning is a small city in Tehama County, California, known historically for its olive production and agricultural economy.
-
C.
Corning
Corning is a small city in New York State best known as the longtime home of Corning Incorporated and its historic glassmaking and museum.
-
D.
Aero Glass
Aero Glass is a graphical user interface theme and compositing engine introduced in Windows Vista and Windows 7 that provides translucent window borders, animations, and advanced visual effects.
-
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 (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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30ee374081908b6b5e8f81dd90f2 |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65a21088190a14808d09b2b9f42 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.