Triple
T3244620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPARC |
E68040
|
entity |
| Predicate | standardizedBy |
P1371
|
FINISHED |
| Object | SPARC International |
E339010
|
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: SPARC International | Statement: [SPARC, standardizedBy, SPARC International]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPARC International Context triple: [SPARC, standardizedBy, SPARC International]
-
A.
SPARC International
chosen
SPARC International is an industry consortium responsible for overseeing and promoting the SPARC processor architecture standard.
-
B.
Setra Systems
Setra Systems is a manufacturer of high-precision sensing and measurement instruments, particularly known for its pressure and environmental sensors used in industrial, HVAC, and critical environment applications.
-
C.
SAS Group
SAS Group is a Scandinavian airline holding company that operates Scandinavian Airlines and related aviation businesses across Northern Europe.
-
D.
Ingres Corporation
Ingres Corporation is a software company best known for developing and commercializing the Ingres relational database management system, one of the early pioneers in the SQL database market.
-
E.
Capco
Capco is a global management and technology consultancy specializing in the financial services 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1982448190b3d60c9e4471421f |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eb55734819093f470caacc3e29c |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:08 p.m.