Triple
T10333635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harz district |
E242940
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sorge |
E320359
|
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: Sorge | Statement: [Harz district, contains, Sorge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorge Context triple: [Harz district, contains, Sorge]
-
A.
Sorge
Sorge is a river in the German state of Schleswig-Holstein that serves as one of the tributaries feeding into the Eider River.
-
B.
Sorge
chosen
Sorge is a small village in the Harz region of Saxony-Anhalt, Germany, known historically as a former border settlement in the inner-German division.
-
C.
Borgne
Borgne is a coastal commune in northern Haiti known for its rural communities, fishing activities, and agricultural production.
-
D.
Sivorg
Sivorg was a clandestine Norwegian resistance organization during World War II that coordinated civilian opposition and underground activities against the German occupation.
-
E.
Sorauren
Sorauren is a village in northern Spain, near Pamplona in Navarre, known as a historic battlefield site from the Peninsular War.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc366b481909c49f199892e9d42 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d75054515081908240f985f8b6e2df |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:53 a.m.