Triple
T19113950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civilian Marksmanship Program |
E467858
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CMP |
—
|
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: CMP | Statement: [Civilian Marksmanship Program, abbreviation, CMP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMP Context triple: [Civilian Marksmanship Program, abbreviation, CMP]
-
A.
CMP
CMP is the ICAO airline designator used to identify Copa Airlines in international aviation operations and communications.
-
B.
CMP
chosen
CMP is a U.S. national organization that promotes firearms safety and marksmanship training, particularly among civilians and youth, and oversees certain surplus military rifle sales.
-
C.
CMP
CMP is the Conference of the Parties serving as the Meeting of the Parties to the Kyoto Protocol, the governing body that oversees and makes decisions on the protocol’s implementation.
-
D.
CMP
CMP is the abbreviated name of the historic Compagnie du chemin de fer métropolitain de Paris, the company that originally built and operated much of the Paris Métro.
-
E.
CM
CM is the two-letter IATA airline designator assigned to Copa Airlines, the flag carrier of Panama.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e39617408190b5134918f54f9c52 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.