Triple

T9572158
Position Surface form Disambiguated ID Type / Status
Subject Nemichthyidae E230948 entity
Predicate scientificNameAuthorship P7386 FINISHED
Object Kaup
Kaup refers to Johann Jakob Kaup, a 19th-century German naturalist and zoologist known for his taxonomic work in classifying fishes and other vertebrates.
 E806953 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: Kaup | Statement: [Nemichthyidae, scientificNameAuthorship, Kaup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaup
Context triple: [Nemichthyidae, scientificNameAuthorship, Kaup]
  • A. Kaupanger
    Kaupanger is a village in Vestland county, Norway, known for its historic stave church and its location along the inner Sognefjord.
  • B. Karup
    Karup is a town in central Jutland, Denmark, notable for its major military air base and role as a key Danish defense hub.
  • C. Koksijde
    Koksijde is a coastal municipality in West Flanders, Belgium, known for its North Sea beaches and seaside tourism.
  • D. Apphus
    Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
  • E. Kalenberg
    Kalenberg is a small waterside village in the Dutch province of Overijssel, known for its canals, reedlands, and traditional houses amid the wetlands of the Weerribben-Wieden area.
  • 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: Kaup
Triple: [Nemichthyidae, scientificNameAuthorship, Kaup]
Generated description
Kaup refers to Johann Jakob Kaup, a 19th-century German naturalist and zoologist known for his taxonomic work in classifying fishes and other vertebrates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaup
Target entity description: Kaup refers to Johann Jakob Kaup, a 19th-century German naturalist and zoologist known for his taxonomic work in classifying fishes and other vertebrates.
  • A. Kaupanger
    Kaupanger is a village in Vestland county, Norway, known for its historic stave church and its location along the inner Sognefjord.
  • B. Karup
    Karup is a town in central Jutland, Denmark, notable for its major military air base and role as a key Danish defense hub.
  • C. Koksijde
    Koksijde is a coastal municipality in West Flanders, Belgium, known for its North Sea beaches and seaside tourism.
  • D. Apphus
    Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
  • E. Kalenberg
    Kalenberg is a small waterside village in the Dutch province of Overijssel, known for its canals, reedlands, and traditional houses amid the wetlands of the Weerribben-Wieden area.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998bf20881909fad48ecb16dfa31 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152ba8f8081908b11c3c098e7e5f0 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1541b005c8190b79fdc6a241d4198 completed April 4, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69d154d3a2d0819095bca826b510ee92 completed April 4, 2026, 6:13 p.m.
Created at: March 30, 2026, 8:04 p.m.