Triple

T24787713
Position Surface form Disambiguated ID Type / Status
Subject Tree of Sobrarbe E620162 entity
Predicate geographicallyRelatedTo P12445 FINISHED
Object Sobrarbe region
The Sobrarbe region is a historical and mountainous comarca in the central Pyrenees of Aragon, Spain, known for its rugged landscapes, medieval heritage, and role in early Aragonese history.
 E1653784 NE FINISHED

How this triple was built (3 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: Sobrarbe region | Statement: [Tree of Sobrarbe, geographicallyRelatedTo, Sobrarbe region]
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: Sobrarbe region
Triple: [Tree of Sobrarbe, geographicallyRelatedTo, Sobrarbe region]
Generated description
The Sobrarbe region is a historical and mountainous comarca in the central Pyrenees of Aragon, Spain, known for its rugged landscapes, medieval heritage, and role in early Aragonese history.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: geographicallyRelatedTo
Context triple: [Tree of Sobrarbe, geographicallyRelatedTo, Sobrarbe region]
  • A. regionallyAssociatedWith chosen
    Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
  • B. typicalGeographicalAssociation
    Indicates a usual or characteristic geographical connection between entities, such as a place commonly associated with a person, group, or phenomenon.
  • C. geographicallyAdjacentTo
    Indicates that two geographic entities share a common boundary or are directly next to each other in space.
  • D. isLocatedOn
    Indicates that one entity exists at or is situated upon the surface or area of another entity.
  • E. locationGaveRiseTo
    Indicates that a particular location is the origin or source from which something (such as an event, movement, phenomenon, or entity) emerged or developed.
  • F. None of above.

Provenance (6 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_69e2fabdbe8c8190adbb9434b8636cad completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42d9000b8819081ea2605f3c193d6 completed May 1, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c25db188190a2c6b998d5d813bd completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a1028c1e21c8190a948d84f7e1d3a38 completed May 22, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a102983964c8190b41cd36b87f8ad0a completed May 22, 2026, 10:01 a.m.
PD Predicate disambiguation batch_69f420f471a0819095a6cd24ed8f7476 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 4:46 a.m.