Triple
T19555777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oda of Saxony |
E489305
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Hatheburg of Merseburg |
—
|
NE NERFINISHED |
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: Hatheburg of Merseburg | Statement: [Oda of Saxony, mother, Hatheburg of Merseburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatheburg of Merseburg Context triple: [Oda of Saxony, mother, Hatheburg of Merseburg]
-
A.
Hatheburg of Merseburg
chosen
Hatheburg of Merseburg was a Saxon noblewoman best known as the first wife of Henry the Fowler, later King Henry I of Germany.
-
B.
Merseburg
Merseburg is a historic town in the German state of Saxony-Anhalt, known for its medieval cathedral and role as an important cultural and administrative center on the River Saale.
-
C.
Fulda
Fulda is a historic city in central Germany known for its Baroque architecture and former status as an important monastic and ecclesiastical center.
-
D.
Fulda
Fulda is a major river in central Germany that flows through the state of Hesse and joins the Werra to form the Weser.
-
E.
Hemfurth
Hemfurth is a village in central Germany best known for its proximity to the historic Eder Dam and the Edersee reservoir.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d335f888190abfc5ba974d3c65e |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:42 p.m.