Triple
T608062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colombia |
E12035
|
entity |
| Predicate | ISO3166-1Alpha3 |
P189
|
FINISHED |
| Object | COL |
E46862
|
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: COL | Statement: [Colombia, ISO3166-1Alpha3, COL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COL Context triple: [Colombia, ISO3166-1Alpha3, COL]
-
A.
COL
COL is the acronym for the Commonwealth of Learning, an intergovernmental organization that promotes open and distance learning across Commonwealth countries.
-
B.
COL$
chosen
COL$ is the currency symbol commonly used to denote the Colombian peso, the official monetary unit of Colombia.
-
C.
COLM
COLM is the stock ticker symbol for Columbia Sportswear Company, a global outdoor apparel, footwear, and equipment manufacturer traded on public markets.
-
D.
COU
COU (Council of Ontario Universities) is a coordinating body that represents and advocates for Ontario’s publicly funded universities.
-
E.
Coll
Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a52925321c8190a0d1df7a58096c4e |
completed | March 2, 2026, 6:07 a.m. |
Created at: March 1, 2026, 7:35 p.m.