Triple

T4035897
Position Surface form Disambiguated ID Type / Status
Subject Terra Alta E83825 entity
Predicate borderedBy P224 FINISHED
Object Matarranya
Matarranya is a rural comarca in the province of Teruel, Aragon, Spain, known for its scenic river valley landscapes, historic villages, and traditional agriculture.
 E407881 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: Matarranya | Statement: [Terra Alta, borderedBy, Matarranya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matarranya
Context triple: [Terra Alta, borderedBy, Matarranya]
  • A. Maras
    Maras is a small Andean town in Peru’s Sacred Valley, known for its ancient terraced salt pans that have been harvested since Inca times.
  • B. Moros
    Moros is the personification of impending doom and fate in Greek mythology.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • 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: Matarranya
Triple: [Terra Alta, borderedBy, Matarranya]
Generated description
Matarranya is a rural comarca in the province of Teruel, Aragon, Spain, known for its scenic river valley landscapes, historic villages, and traditional agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matarranya
Target entity description: Matarranya is a rural comarca in the province of Teruel, Aragon, Spain, known for its scenic river valley landscapes, historic villages, and traditional agriculture.
  • A. Maras
    Maras is a small Andean town in Peru’s Sacred Valley, known for its ancient terraced salt pans that have been harvested since Inca times.
  • B. Moros
    Moros is the personification of impending doom and fate in Greek mythology.
  • C. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb132f6c8190937acd35a6a5a9e4 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556415ebc8190a528c7e22dbf70df completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556efc2148190a66e732e09e4fc21 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b5575de0e88190843f1fcbc12c9dd5 completed March 14, 2026, 12:41 p.m.
Created at: March 9, 2026, 3:36 p.m.