Triple

T6074687
Position Surface form Disambiguated ID Type / Status
Subject Teruel province E135370 entity
Predicate contains P35 FINISHED
Object Albarracín
Albarracín is a historic hilltop town in eastern Spain renowned for its well-preserved medieval architecture and dramatic red sandstone setting.
 E576914 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: Albarracín | Statement: [Teruel province, contains, Albarracín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albarracín
Context triple: [Teruel province, contains, Albarracín]
  • A. Montilla
    Montilla is a town in the province of Córdoba, Andalusia, Spain, known for its wine production and historical significance.
  • B. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • C. Daroca
    Daroca is a historic fortified town in northeastern Spain known for its medieval walls, towers, and well-preserved old quarter.
  • D. Barbastro
    Barbastro is a historic town in the Aragon region of northeastern Spain, known for its wine production and medieval architecture.
  • E. Castellón de la Plana
    Castellón de la Plana is a coastal city in eastern Spain known as the capital of the province of Castellón and an important economic and cultural center in the region.
  • 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: Albarracín
Triple: [Teruel province, contains, Albarracín]
Generated description
Albarracín is a historic hilltop town in eastern Spain renowned for its well-preserved medieval architecture and dramatic red sandstone setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Albarracín
Target entity description: Albarracín is a historic hilltop town in eastern Spain renowned for its well-preserved medieval architecture and dramatic red sandstone setting.
  • A. Montilla
    Montilla is a town in the province of Córdoba, Andalusia, Spain, known for its wine production and historical significance.
  • B. Alhué
    Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
  • C. Daroca
    Daroca is a historic fortified town in northeastern Spain known for its medieval walls, towers, and well-preserved old quarter.
  • D. Barbastro
    Barbastro is a historic town in the Aragon region of northeastern Spain, known for its wine production and medieval architecture.
  • E. Castellón de la Plana
    Castellón de la Plana is a coastal city in eastern Spain known as the capital of the province of Castellón and an important economic and cultural center in the region.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d4e28b48190bb44675c5c035bd3 completed March 24, 2026, 4:04 a.m.
NEDg Description generation batch_69c20f50f6988190b2df198edd4bf87e completed March 24, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_69c20fcabbe481908194871d21e12155 completed March 24, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:11 p.m.