Triple
T14650025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARTE France |
E343956
|
entity |
| Predicate | network |
P2637
|
FINISHED |
| Object | ARTE |
E1074544
|
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: ARTE | Statement: [ARTE France, network, ARTE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARTE Context triple: [ARTE France, network, ARTE]
-
A.
Arte
chosen
Arte is a European public-service television network known for its high-quality cultural, artistic, and documentary programming, jointly funded and operated by France and Germany.
-
B.
ARTE France
ARTE France is the French branch of the European public-service cultural television network ARTE, known for producing and co-producing high-quality documentaries, films, and cultural programs.
-
C.
ARTF
ARTF is Mexico’s federal regulatory agency responsible for overseeing and regulating the country’s railway transportation system.
-
D.
ARTs
ARTs are dual-status civilian and military personnel who provide full-time support to the U.S. Air Force Reserve by maintaining readiness, training, and continuity for reserve units.
-
E.
Artěl
Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ed037c8190a87bf43f839fec05 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07acd748190b2821dee21ecd740 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:26 a.m.