Triple
T10068763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BASF |
E213163
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
BASF Coatings
BASF Coatings is a BASF subsidiary specializing in the development and production of automotive, industrial, and decorative coating solutions.
|
E839066
|
NE FINISHED |
How this triple was built (4 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: BASF Coatings | Statement: [BASF, hasSubsidiary, BASF Coatings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BASF Coatings Context triple: [BASF, hasSubsidiary, BASF Coatings]
-
A.
PPG Industries
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.
Benjamin Moore
Benjamin Moore was an American Episcopal bishop and academic who served as the second bishop of New York and president of Columbia College in the early 19th century.
-
D.
Lanxess
Lanxess is a German specialty chemicals company known for producing high-performance plastics, rubber, and chemical intermediates for various industrial applications.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BASF Coatings Triple: [BASF, hasSubsidiary, BASF Coatings]
Generated description
BASF Coatings is a BASF subsidiary specializing in the development and production of automotive, industrial, and decorative coating solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BASF Coatings Target entity description: BASF Coatings is a BASF subsidiary specializing in the development and production of automotive, industrial, and decorative coating solutions.
-
A.
PPG Industries
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.
Benjamin Moore
Benjamin Moore was an American Episcopal bishop and academic who served as the second bishop of New York and president of Columbia College in the early 19th century.
-
D.
Lanxess
Lanxess is a German specialty chemicals company known for producing high-performance plastics, rubber, and chemical intermediates for various industrial applications.
-
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. chosen
Provenance (5 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff8d9c08190bc030f1dcc696310 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a96fc888190aec7cd364a0d7fb1 |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b985e308190a6ec3966e02f429c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c5f64c881909aa3d093422fe475 |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:58 p.m.