Triple

T3608747
Position Surface form Disambiguated ID Type / Status
Subject Centro Region E76433 entity
Predicate containsCity P294 FINISHED
Object Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
 E374165 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: Arganil | Statement: [Centro Region, containsCity, Arganil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arganil
Context triple: [Centro Region, containsCity, Arganil]
  • A. 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.
  • B. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • C. Andalgalá
    Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Anaguta
    Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
  • 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: Arganil
Triple: [Centro Region, containsCity, Arganil]
Generated description
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arganil
Target entity description: Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • A. 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.
  • B. Arona
    Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
  • C. Andalgalá
    Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Anaguta
    Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b437cf839881909b1d505328285123 completed March 13, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69b43835994c81909230bbb21b12b8ef completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:22 p.m.