Triple
T4695082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AGR European Agreement on Main International Traffic Arteries |
E104122
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AGR |
E329571
|
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: AGR | Statement: [AGR European Agreement on Main International Traffic Arteries, shortName, AGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGR Context triple: [AGR European Agreement on Main International Traffic Arteries, shortName, AGR]
-
A.
AGR
chosen
AGR is the IATA airport code for Agra Airport, which serves the city of Agra in India near the Taj Mahal.
-
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.
ARS
ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
-
E.
ARS
ARS is the commonly used acronym for the Sicilian Regional Assembly, the legislative body of the autonomous region of Sicily in Italy.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63b1cee481908a8fb5eeb359cc00 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03c093ac8190869aab6abcfd571f |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:17 p.m.