Triple
T21910406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coast Guard Achievement Medal |
E541043
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CGAM |
—
|
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: CGAM | Statement: [Coast Guard Achievement Medal, abbreviation, CGAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGAM Context triple: [Coast Guard Achievement Medal, abbreviation, CGAM]
-
A.
CGAM
chosen
CGAM is the abbreviation for the Coast Guard Achievement Medal, a United States Coast Guard decoration awarded for professional and leadership excellence.
-
B.
GAM
GAM is the stock ticker symbol for Gaumont, a historic French film production and distribution company.
-
C.
GAM
GAM is a major cultural and arts center in Santiago, Chile, named after the Nobel Prize–winning poet Gabriela Mistral.
-
D.
DGAM
DGAM is Syria’s national authority responsible for the protection, management, and preservation of the country’s archaeological sites, historical monuments, and museums.
-
E.
Gamu
Gamu is a landlocked agricultural municipality in the province of Isabela in the Cagayan Valley region of the Philippines.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d9796881909fc1454a7b61b8fe |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:40 p.m.