Triple
T22056368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CoGS |
E545021
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CoGS |
—
|
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: CoGS | Statement: [CoGS, hasAbbreviation, CoGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CoGS Context triple: [CoGS, hasAbbreviation, CoGS]
-
A.
CoGS
chosen
CoGS is the commonly used acronym for the Council of General Synod, the governing body that oversees the work of the Anglican Church of Canada between meetings of its General Synod.
-
B.
CoST
CoST is the College of Science and Technology at North Carolina A&T State University, offering undergraduate and graduate programs in scientific and technological disciplines.
-
C.
COST
COST is the stock ticker symbol for Costco Wholesale Corporation, a major American membership-based warehouse retail chain.
-
D.
COGE
COGE is the abbreviated name for the Commission on Geoscience Education, a body focused on advancing and coordinating education in the geosciences.
-
E.
COS
COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128588e0081909056ac8251afe935 |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.