Triple
T1779372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Republic |
E39253
|
entity |
| Predicate | ISO3166-1Alpha2Code |
P189
|
FINISHED |
| Object | FR |
E861
|
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: FR | Statement: [French Republic, ISO3166-1Alpha2Code, FR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FR Context triple: [French Republic, ISO3166-1Alpha2Code, FR]
-
A.
FR
FR is the IATA airline designator used to identify Ryanair flights.
-
B.
French
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
-
C.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
-
D.
FR3
FR3 was a former French public television channel and network that later became part of France Télévisions.
-
E.
France
chosen
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64e07bd081908e442c1004cdad61 |
completed | March 6, 2026, 5:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada99d12f88190a9daec1b7dd64e67 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.