Triple
T19335260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giessen district |
E483605
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Buseck
Buseck is a municipality in the German state of Hesse, known for its rural character and proximity to the city of Gießen.
|
E1370624
|
NE FINISHED |
How this triple was built (4 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: Buseck | Statement: [Giessen district, contains, Buseck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buseck Context triple: [Giessen district, contains, Buseck]
-
A.
Borucki
Borucki is the surname of William J. Borucki, an American space scientist known for his pioneering work on NASA’s Kepler mission to discover exoplanets.
-
B.
Kniphausen
Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
-
C.
Urey
Urey is a surname most notably associated with Harold Urey, the Nobel Prize–winning American chemist who helped discover deuterium and advanced theories on the origin of the Earth and its atmosphere.
-
D.
Geissman
Geissman is a surname most notably associated with American jazz guitarist and composer Grant Geissman.
-
E.
Vera Rubin Ridge
Vera Rubin Ridge is a geologic feature on Mars explored by NASA's Curiosity rover, named in honor of pioneering astronomer Vera Rubin.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buseck Triple: [Giessen district, contains, Buseck]
Generated description
Buseck is a municipality in the German state of Hesse, known for its rural character and proximity to the city of Gießen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buseck Target entity description: Buseck is a municipality in the German state of Hesse, known for its rural character and proximity to the city of Gießen.
-
A.
Borucki
Borucki is the surname of William J. Borucki, an American space scientist known for his pioneering work on NASA’s Kepler mission to discover exoplanets.
-
B.
Kniphausen
Kniphausen is a historical territory in present-day Germany that once functioned as a small semi-independent lordship under various regional powers.
-
C.
Urey
Urey is a surname most notably associated with Harold Urey, the Nobel Prize–winning American chemist who helped discover deuterium and advanced theories on the origin of the Earth and its atmosphere.
-
D.
Geissman
Geissman is a surname most notably associated with American jazz guitarist and composer Grant Geissman.
-
E.
Vera Rubin Ridge
Vera Rubin Ridge is a geologic feature on Mars explored by NASA's Curiosity rover, named in honor of pioneering astronomer Vera Rubin.
- F. None of above. chosen
Provenance (5 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61644b80c819080f9bca086424a36 |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071be4ca388190986a61eb535df4bd |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071ca19f308190ac9072c5a8d3b665 |
completed | May 15, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071de35b9081908d1b6e797cbe69ce |
completed | May 15, 2026, 1:21 p.m. |
Created at: April 10, 2026, 1:33 p.m.