Triple
T5494932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina national football team |
E144188
|
entity |
| Predicate | FIFACode |
P6278
|
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: [Argentina national football team, FIFACode, ARG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARG Context triple: [Argentina national football team, FIFACode, 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.
AG
AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
-
E.
ar
ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01b8c05ac8190999f84c33719d794 |
completed | March 22, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0277e577481909f1559082e482995 |
completed | March 22, 2026, 5:31 p.m. |
Created at: March 22, 2026, 3:31 p.m.