Triple
T19423721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French CFF |
E485925
|
entity |
| Predicate | hasCounterpartAbbreviation |
P6587
|
FINISHED |
| Object | Italian FFS |
—
|
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: Italian FFS | Statement: [French CFF, hasCounterpartAbbreviation, Italian FFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Italian FFS Context triple: [French CFF, hasCounterpartAbbreviation, Italian FFS]
-
A.
The Italian
The Italian is a 1797 Gothic novel by Ann Radcliffe, renowned for its suspenseful plot, atmospheric settings, and exploration of religious and psychological themes.
-
B.
Italo
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
-
C.
Italo
chosen
Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
-
D.
ITA
ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
-
E.
ITA
ITA is the FIFA trigramme used to represent Italy in international football competitions.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e632169d9c81909a88704c6beb8fe0 |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.