Triple

T22671621
Position Surface form Disambiguated ID Type / Status
Subject Campo de Cariñena comarca E560230 entity
Predicate hasMunicipality P847 FINISHED
Object Alfamén
Alfamén is a small municipality in the province of Zaragoza, Aragon, Spain, known for its location in a traditional wine-producing area.
 E1548440 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: Alfamén | Statement: [Campo de Cariñena comarca, hasMunicipality, Alfamén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alfamén
Context triple: [Campo de Cariñena comarca, hasMunicipality, Alfamén]
  • A. Aramón
    Aramón is a major Spanish ski resort operator that manages several ski areas in the Aragonese Pyrenees.
  • B. Faskally
    Faskally is a small settlement in Perth and Kinross, Scotland, known for its scenic woodland surroundings and proximity to Loch Faskally and the River Tummel.
  • C. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Monhardt
    Monhardt is a small village and district of the town of Altensteig in the Black Forest region of Baden-Württemberg, Germany.
  • E. Alcafache
    Alcafache is a civil parish in the municipality of Mangualde, located in Portugal’s Viseu District and known for its rural character and proximity to the Dão wine 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: Alfamén
Triple: [Campo de Cariñena comarca, hasMunicipality, Alfamén]
Generated description
Alfamén is a small municipality in the province of Zaragoza, Aragon, Spain, known for its location in a traditional wine-producing area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alfamén
Target entity description: Alfamén is a small municipality in the province of Zaragoza, Aragon, Spain, known for its location in a traditional wine-producing area.
  • A. Aramón
    Aramón is a major Spanish ski resort operator that manages several ski areas in the Aragonese Pyrenees.
  • B. Faskally
    Faskally is a small settlement in Perth and Kinross, Scotland, known for its scenic woodland surroundings and proximity to Loch Faskally and the River Tummel.
  • C. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Monhardt
    Monhardt is a small village and district of the town of Altensteig in the Black Forest region of Baden-Württemberg, Germany.
  • E. Alcafache
    Alcafache is a civil parish in the municipality of Mangualde, located in Portugal’s Viseu District and known for its rural character and proximity to the Dão wine 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73eb35c4819083a5de1f2979b521 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b745f36708190af2a61f501c18c78 completed May 18, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0b74ebf8c08190bc3f2bd0b442ef9c completed May 18, 2026, 8:22 p.m.
Created at: April 17, 2026, 3:10 p.m.