Triple
T33793762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freiburg |
E866007
|
entity |
| Predicate | primaryFrenchName |
P181088
|
FINISHED |
| Object | Fribourg |
E44938
|
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: Fribourg | Statement: [Freiburg, primaryFrenchName, Fribourg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFrenchName Context triple: [Freiburg, primaryFrenchName, Fribourg]
-
A.
nameInFrench
Indicates that an entity is known or referred to by a specific name expressed in the French language.
-
B.
hasOfficialFrenchName
chosen
Indicates that an entity possesses an officially recognized name in the French language.
-
C.
recognizedAsFrenchBy
Indicates that an entity is regarded or acknowledged as French by a specified agent or group.
-
D.
primaryName
Indicates that the associated name is the main or most commonly used name for the entity in question.
-
E.
FrenchNameMeaning
Indicates that the relationship specifies the meaning or etymological sense of a given French name.
- F. None of above.
Provenance (4 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b74a8b748190b439bc0195050b00 |
completed | June 20, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:46 a.m.