Triple
T19954660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COE |
E479650
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | COE |
—
|
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: COE | Statement: [COE, shortName, COE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COE Context triple: [COE, shortName, COE]
-
A.
COE
COE is the vehicle registration code used on license plates for the Coesfeld district in the German state of North Rhine-Westphalia.
-
B.
COE
COE is the Spanish National Olympic Committee responsible for organizing Spain’s participation in the Olympic Games and promoting the Olympic movement within the country.
-
C.
CoE
CoE is the commonly used abbreviation for the Council of Europe, a pan-European intergovernmental organization focused on promoting human rights, democracy, and the rule of law.
-
D.
CoE
CoE is the commonly used abbreviation for the Centers of Excellence within the Technology Transformation Services (TTS) of the U.S. General Services Administration.
-
E.
CCoE
CCoE is the U.S. Army’s primary institution responsible for developing doctrine, training, and capabilities for cyber and electronic warfare operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aef16588190b3a40a3d49ef5080 |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.