Triple
T15380927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildesheim district |
E367796
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Algermissen |
E630639
|
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: Algermissen | Statement: [Hildesheim district, contains, Algermissen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algermissen Context triple: [Hildesheim district, contains, Algermissen]
-
A.
Algermissen
chosen
Algermissen is a small municipality in Lower Saxony, Germany, located between Hanover and Hildesheim.
-
B.
Algerasluis
Algerasluis is a lock complex in the Netherlands that regulates water levels and shipping traffic on the Hollandsche IJssel near Rotterdam.
-
C.
Alger
Alger is a surname of English origin most notably associated with the American author Horatio Alger Jr., known for his 19th-century rags-to-riches novels.
-
D.
Shaba
Shaba, now known as Katanga Province in the Democratic Republic of the Congo, is a mineral-rich southeastern region historically marked by secessionist conflicts and significant political unrest.
-
E.
Algieba
Algieba is a bright double star system in the constellation Leo, known for its striking golden components and prominence in amateur astronomy observations.
- 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.