Triple
T9257793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SABIC |
E222488
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | SABIC Innovative Plastics |
E222488
|
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: SABIC Innovative Plastics | Statement: [SABIC, hasSubsidiary, SABIC Innovative Plastics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SABIC Innovative Plastics Context triple: [SABIC, hasSubsidiary, SABIC Innovative Plastics]
-
A.
SABIC
chosen
SABIC is a major Saudi-based global petrochemicals and plastics manufacturer known as one of the world’s largest chemical companies.
-
B.
Invista
Invista is a global manufacturer of polymers and fibers, best known for producing materials used in textiles, carpets, and industrial applications.
-
C.
Lanxess
Lanxess is a German specialty chemicals company known for producing high-performance plastics, rubber, and chemical intermediates for various industrial applications.
-
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.
BASF
BASF is a major German chemical company and one of the world's largest producers of chemicals and related products.
- 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_69ca841e4cd481908e738c74e958eaea |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd06b660448190b6bc04beff0f5512 |
completed | April 1, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1d943408190b3c13d8aa2473ee8 |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:32 p.m.