Triple
T8020366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unstrut River region |
E186724
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Memleben |
E228239
|
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: Memleben | Statement: [Unstrut River region, contains, Memleben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memleben Context triple: [Unstrut River region, contains, Memleben]
-
A.
Memleben
chosen
Memleben is a historic village in Saxony-Anhalt, Germany, notable as a royal palace site of the Ottonian dynasty and the place where Emperor Otto I died.
-
B.
Gorcumer
A Gorcumer is a resident or native of the Dutch city of Gorinchem.
-
C.
Maienfeld
Maienfeld is a historic town in the Swiss canton of Graubünden, best known as the setting of Johanna Spyri’s classic “Heidi” stories.
-
D.
Melenki
Melenki is a small town in western Russia known for its traditional provincial character within the historical region of central European Russia.
-
E.
Hernici
The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
- 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_69cb3e8d90488190b57d1e748e272061 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c82824819082e93eddc40bfad1 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.