Triple

T36225580
Position Surface form Disambiguated ID Type / Status
Subject Royal Danish Arabia Expedition E1047974 entity
Predicate member P10 FINISHED
Object Christian Carl Kramer
Christian Carl Kramer was a Danish participant in the Royal Danish Arabia Expedition, a scientific and exploratory mission to the Arabian Peninsula in the 18th century.
E2256635 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: Christian Carl Kramer | Statement: [Royal Danish Arabia Expedition, member, Christian Carl Kramer]
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: Christian Carl Kramer
Triple: [Royal Danish Arabia Expedition, member, Christian Carl Kramer]
Generated description
Christian Carl Kramer was a Danish participant in the Royal Danish Arabia Expedition, a scientific and exploratory mission to the Arabian Peninsula in the 18th century.

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_69f76e42c878819095c8d19c0267fb87 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b59f00a08190b4a640552f794246 completed May 3, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4167eaa4748190af8a44a2845070c1 completed June 28, 2026, 6:28 p.m.
NEDg Description generation batch_6a416b0d92b48190ba67070ceec2c797 completed June 28, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_6a416bbd446081909f014f295da7b8c7 completed June 28, 2026, 6:45 p.m.
Created at: May 3, 2026, 4:09 p.m.