Triple
T19019431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BSI Group |
E465443
|
entity |
| Predicate | standardPrefix |
P7276
|
FINISHED |
| Object | BS EN ISO |
—
|
NE NERFINISHED |
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: BS EN ISO | Statement: [BSI Group, standardPrefix, BS EN ISO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BS EN ISO Context triple: [BSI Group, standardPrefix, BS EN ISO]
-
A.
British Standards Institution
chosen
The British Standards Institution (BSI) is the United Kingdom’s national standards body, responsible for developing and publishing technical and management system standards used worldwide.
-
B.
BS 2589
BS 2589 is the catalog number for a specific release of the album "Discover America."
-
C.
BSI
BSI is the Botanical Survey of India, the national organization responsible for surveying, researching, and documenting the plant resources of India.
-
D.
BSI
BSI is the vehicle registration code used on license plates for cars registered in Siemiatycze, Poland.
-
E.
ISO
ISO is a widely used optical disc image file format that encapsulates the complete contents and structure of CD, DVD, or Blu-ray media in a single file.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6ddc9608190a1daec9ddcc79a7a |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.