Triple
T9215887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taraxacum |
E221239
|
entity |
| Predicate | hasLanguageName |
P15
|
FINISHED |
| Object | German:Löwenzahn |
E221239
|
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: German:Löwenzahn | Statement: [Taraxacum, hasLanguageName, German:Löwenzahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German:Löwenzahn Context triple: [Taraxacum, hasLanguageName, German:Löwenzahn]
-
A.
Schildkraut
Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
-
B.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
C.
Galega
Galega is a small genus of flowering legumes in the pea family, best known for the species Galega officinalis, historically used as a medicinal plant and as a forage crop.
-
D.
Ennepetal
Ennepetal is a town in North Rhine-Westphalia, Germany, known for its industrial heritage and scenic location in the Ennepe-Ruhr district.
-
E.
Taraxacum
chosen
Taraxacum is a genus of flowering plants best known for the common dandelions, widespread weeds with yellow flower heads and distinctive wind-dispersed seed heads.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda096358819096d4e790da057512 |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0661c4c2c8190bc5be991a3a75f2b |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.