Triple
T2876061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts and Humanities, University of the Andes |
E56879
|
entity |
| Predicate | countryISO |
P208
|
FINISHED |
| Object | CO |
E75857
|
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: CO | Statement: [Faculty of Arts and Humanities, University of the Andes, countryISO, CO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CO Context triple: [Faculty of Arts and Humanities, University of the Andes, countryISO, CO]
-
A.
CO
chosen
CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
-
B.
CO
CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
-
C.
CO
CO is the official two-letter United States Postal Service abbreviation for the state of Colorado.
-
D.
CO
CO is a postcode area in the United Kingdom covering Colchester and surrounding parts of Essex, including towns such as Clacton-on-Sea.
-
E.
CAL
CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0061d048190bb1e5a01e7ceb0e2 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01dbb28588190ba2daae192744908 |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:03 p.m.