Triple
T1458413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aerolíneas Argentinas |
E31451
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | ARG |
E32833
|
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: ARG | Statement: [Aerolíneas Argentinas, ICAOCode, ARG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARG Context triple: [Aerolíneas Argentinas, ICAOCode, ARG]
-
A.
ARG
chosen
ARG is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Argentina in international standards and data systems.
-
B.
AG
AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
-
C.
AG
AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
-
D.
AR
AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
-
E.
AR
AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59a462881908e84b27846a6bc04 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e7643e081909a088035faf2022d |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.