Triple
T5549545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gianni Letta |
E145491
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | RAI |
E140861
|
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: RAI | Statement: [Gianni Letta, employer, RAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAI Context triple: [Gianni Letta, employer, RAI]
-
A.
RAI
chosen
RAI is Italy’s national public broadcasting company, operating multiple television and radio channels and producing a wide range of news, entertainment, and cultural programming.
-
B.
RAI
RAI is the stock ticker symbol for Reynolds American Inc., a major U.S. tobacco company known for brands like Camel and Newport.
-
C.
Rai
Rai are an indigenous ethnic group from the eastern Himalayan region of Nepal, known for their distinct Kirati culture, languages, and traditions.
-
D.
Rai
Rai is a town in the Sonipat district of the northern Indian state of Haryana, known for its industrial and logistical hubs near the National Capital Region.
-
E.
Station RAI
Station RAI is a metro and railway station in Amsterdam, Netherlands, primarily serving the RAI Amsterdam convention and exhibition centre.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe143ec8190bb67d2530c92a419 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0282dd7408190ad762fca9ff5e04b |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.