Triple
T11097150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DG AGRI |
E262405
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | DG AGRI |
E262405
|
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: DG AGRI | Statement: [DG AGRI, shortName, DG AGRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DG AGRI Context triple: [DG AGRI, shortName, DG AGRI]
-
A.
DG AGRI
chosen
DG AGRI is the European Commission department responsible for EU policy on agriculture and rural development, including the Common Agricultural Policy.
-
B.
Steyr Tractor
Steyr Tractor is an Austrian agricultural machinery brand known for producing high-quality tractors, historically linked to the former industrial conglomerate Steyr-Daimler-Puch.
-
C.
Deutz AG
Deutz AG is a German manufacturer best known for producing internal combustion engines, particularly for industrial and agricultural applications.
-
D.
C. Lorenz AG
C. Lorenz AG was a German electronics and communications company known for pioneering radio, radar, and navigation systems, including the influential Lorenz beam landing aid.
-
E.
Aral AG
Aral AG is a major German brand of fuel stations and petroleum products, widely recognized for its network of service stations across Germany.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0a02cc8190a15df663d4860163 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7eca9bc8190b43bae081d97d804 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 8, 2026, 9:27 p.m.