Triple
T23372262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIPDoc |
E593505
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object | RX France |
—
|
NE NERFINISHED |
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: RX France | Statement: [MIPDoc, organizer, RX France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RX France Context triple: [MIPDoc, organizer, RX France]
-
A.
RX France
chosen
RX France is a major global events and exhibitions organizer known for producing leading trade shows and industry gatherings across diverse sectors.
-
B.
RT France
RT France was the French-language branch of the Russian state-funded international news network RT, broadcasting news and commentary aimed at French-speaking audiences.
-
C.
Radio France
Radio France is France’s national public radio broadcaster, operating multiple nationwide stations that provide news, culture, music, and educational programming.
-
D.
France RL
France RL is the national rugby league team representing France in international rugby league competitions.
-
E.
Orange France
Orange France is a major French telecommunications operator providing mobile, internet, and other communication services across France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:32 p.m.