Triple

T27006512
Position Surface form Disambiguated ID Type / Status
Subject Vautrin Lud Prize E680257 entity
Predicate awardedBy P287 FINISHED
Object International jury of geographers
The International jury of geographers is a panel of leading geography experts from around the world responsible for selecting recipients of one of the discipline’s most prestigious global awards.
E1750012 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: International jury of geographers | Statement: [Vautrin Lud Prize, awardedBy, International jury of geographers]
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: International jury of geographers
Triple: [Vautrin Lud Prize, awardedBy, International jury of geographers]
Generated description
The International jury of geographers is a panel of leading geography experts from around the world responsible for selecting recipients of one of the discipline’s most prestigious global awards.

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_69eeeb53939c8190bd431f32b060f01f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f621d2c9548190afac336fb182c365 completed May 2, 2026, 4:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229c052708190901aab4506fdb248 completed May 23, 2026, 10:27 p.m.
NEDg Description generation batch_6a122a3ae1748190abe3dcd0c8036cfa completed May 23, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a122b06fe7c8190b61a01c92b4c790b completed May 23, 2026, 10:32 p.m.
Created at: April 27, 2026, 7:01 a.m.