Triple
T15380917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildesheim district |
E367796
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Alfeld (Leine) |
E160779
|
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: Alfeld (Leine) | Statement: [Hildesheim district, contains, Alfeld (Leine)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfeld (Leine) Context triple: [Hildesheim district, contains, Alfeld (Leine)]
-
A.
Alfeld
chosen
Alfeld is a small German town in Lower Saxony known for its industrial heritage and the UNESCO-listed Fagus Factory.
-
B.
Lippe-Biesterfeld
Lippe-Biesterfeld is a cadet branch of the German princely House of Lippe, historically associated with several minor German nobles and later with the Dutch royal family.
-
C.
Nordwalde
Nordwalde is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
-
D.
Meinerzhagen
Meinerzhagen is a town in western Germany known for its location in the hilly, forested Sauerland region of North Rhine-Westphalia.
-
E.
Fröndenberg
Fröndenberg is a small town in North Rhine-Westphalia, Germany, situated on the Ruhr River and known for its scenic rural surroundings.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b5996408190afab2221d38e0027 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:19 a.m.