Triple
T8017801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fils |
E186662
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Süßen |
E707645
|
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: Süßen | Statement: [Fils, flowsThrough, Süßen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Süßen Context triple: [Fils, flowsThrough, Süßen]
-
A.
Süßen
chosen
Süßen is a small town in the German state of Baden-Württemberg, situated in the Fils Valley and known for its local industry and residential character.
-
B.
Sweetness
Sweetness is a central character in Toni Morrison’s novel "God Help the Child," known as the light-skinned mother whose harsh treatment of her dark-skinned daughter explores themes of colorism, shame, and maternal love.
-
C.
Sweetness
Sweetness is a charismatic and stylish roller skater character from the 2005 film "Roll Bounce," known for being the reigning champion at the local roller rink.
-
D.
Dulcissime
"Dulcissime" is the climactic, high-flying soprano solo that concludes the "Cour d'amours" section of Carl Orff’s cantata Carmina Burana.
-
E.
Sweeter
"Sweeter" is a soulful pop-rock song by American singer-songwriter Gavin DeGraw, known for its catchy melody and emotionally charged lyrics.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63c4937c8190999a156299299ab3 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:20 p.m.