Triple
T9931779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SECG |
E192663
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SECG |
E192663
|
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: SECG | Statement: [SECG, abbreviation, SECG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SECG Context triple: [SECG, abbreviation, SECG]
-
A.
SECG
chosen
SECG (Standards for Efficient Cryptography Group) is an industry consortium that develops and promotes standards for efficient public-key cryptography, particularly elliptic curve cryptography.
-
B.
SECC
SECC is a major exhibition and conference complex in Glasgow, Scotland, known for hosting large-scale events, concerts, and trade shows.
-
C.
SecAg
SecAg is the commonly used abbreviation for the United States Secretary of Agriculture, the Cabinet official who oversees federal agricultural policy and the Department of Agriculture.
-
D.
SECAmb
SECAmb is the National Health Service ambulance trust responsible for providing emergency medical services across the South East of England.
-
E.
SECA
SECA refers to designated maritime zones where strict limits are imposed on the sulfur content of ship fuel to reduce air pollution and protect human health and the environment.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b54f348190b8e70e7beff6098a |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d38c6748190a1c28c97f2a84f37 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:43 p.m.