Triple
T23394217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toray Composites (America) |
E594105
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Toray Industries |
—
|
NE NERFINISHED |
How this triple was built (3 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: Toray Industries | Statement: [Toray Composites (America), parentCompany, Toray Industries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toray Industries Context triple: [Toray Composites (America), parentCompany, Toray Industries]
-
A.
Toray Composites (America)
Toray Composites (America) is a leading U.S.-based manufacturer of advanced carbon fiber composite materials widely used in the aerospace and aviation industries.
-
B.
Invista
Invista is a global manufacturer of polymers and fibers, best known for producing materials used in textiles, carpets, and industrial applications.
-
C.
Asahi Kasei Corporation
Asahi Kasei Corporation is a major Japanese multinational chemical company known for its diversified operations in materials, homes, and health care, including pioneering work in battery technology.
-
D.
Celanese Corporation
Celanese Corporation is a global specialty materials and chemical company known for producing engineered materials, acetyl products, and other advanced polymers for industrial and consumer applications.
-
E.
Mitsubishi Chemical Group
Mitsubishi Chemical Group is a major Japanese chemical company within the Mitsubishi conglomerate, producing a wide range of advanced materials, chemicals, and life science products for global markets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toray Industries Target entity description: Toray Industries is a Japanese multinational corporation best known for its advanced materials and chemical products, including carbon fiber composites, textiles, and plastics used across aerospace, automotive, and industrial sectors.
-
A.
Toray Composites (America)
Toray Composites (America) is a leading U.S.-based manufacturer of advanced carbon fiber composite materials widely used in the aerospace and aviation industries.
-
B.
Invista
Invista is a global manufacturer of polymers and fibers, best known for producing materials used in textiles, carpets, and industrial applications.
-
C.
Asahi Kasei Corporation
Asahi Kasei Corporation is a major Japanese multinational chemical company known for its diversified operations in materials, homes, and health care, including pioneering work in battery technology.
-
D.
Celanese Corporation
Celanese Corporation is a global specialty materials and chemical company known for producing engineered materials, acetyl products, and other advanced polymers for industrial and consumer applications.
-
E.
Mitsubishi Chemical Group
Mitsubishi Chemical Group is a major Japanese chemical company within the Mitsubishi conglomerate, producing a wide range of advanced materials, chemicals, and life science products for global markets.
- F. None of above. chosen
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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49eb3b881909da7f1c47c67c81f |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:36 p.m.