Triple
T1484227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SecAg |
E29427
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | SecAg |
E29427
|
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: SecAg | Statement: [SecAg, hasAbbreviation, SecAg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SecAg Context triple: [SecAg, hasAbbreviation, SecAg]
-
A.
SecAg
chosen
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.
-
B.
SEK
SEK is the official currency code for the Swedish krona, the national currency of Sweden.
-
C.
Securitate
Securitate was the notorious secret police and intelligence service of communist Romania, known for its extensive surveillance, repression, and control over the population.
-
D.
SICA
SICA is a regional organization that promotes political, economic, and social integration among Central American countries.
-
E.
Simultaneous Authentication of Equals
Simultaneous Authentication of Equals is a secure password-based key exchange protocol that protects Wi‑Fi connections from offline dictionary attacks and improves authentication robustness.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a011f0819086e9ee517ed6d29f |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b3a8548190b484a15757aee7b1 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:12 p.m.