Triple
T5026972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freiburg (Regierungsbezirk) |
E113198
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | FR |
E462433
|
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: [Freiburg (Regierungsbezirk), hasAbbreviation, FR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FR Context triple: [Freiburg (Regierungsbezirk), hasAbbreviation, FR]
-
A.
FR
FR is the IATA airline designator used to identify Ryanair flights.
-
B.
FR
FR is the Swiss vehicle registration code for the canton of Fribourg.
-
C.
FR
chosen
FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
-
D.
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.
-
E.
CH-FR
CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738c3aac81908fb6a5c70c97a394 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c64db5c81909224c82ae9d9e0ab |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:36 p.m.