Triple

T13280690
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Cagliari E316311 entity
Predicate contains P35 FINISHED
Object Vallermosa
Vallermosa is a small municipality in southern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
 E1030958 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: Vallermosa | Statement: [Metropolitan City of Cagliari, contains, Vallermosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vallermosa
Context triple: [Metropolitan City of Cagliari, contains, Vallermosa]
  • A. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • B. Aguajun
    Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
  • C. Llanos de Moxos
    Llanos de Moxos is a vast seasonally flooded tropical savanna and wetland region in northern Bolivia, known for its rich biodiversity and extensive pre-Columbian earthworks.
  • D. La Sabana
    La Sabana is a locality within the coastal region of Acapulco in the Mexican state of Guerrero, known as part of the broader urban and suburban area surrounding the resort city.
  • E. La Ceiba
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • 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: Vallermosa
Triple: [Metropolitan City of Cagliari, contains, Vallermosa]
Generated description
Vallermosa is a small municipality in southern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vallermosa
Target entity description: Vallermosa is a small municipality in southern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • A. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • B. Aguajun
    Aguajun is an indigenous language of the Jivaroan family spoken by the Awajún people of the Peruvian Amazon.
  • C. Llanos de Moxos
    Llanos de Moxos is a vast seasonally flooded tropical savanna and wetland region in northern Bolivia, known for its rich biodiversity and extensive pre-Columbian earthworks.
  • D. La Sabana
    La Sabana is a locality within the coastal region of Acapulco in the Mexican state of Guerrero, known as part of the broader urban and suburban area surrounding the resort city.
  • E. La Ceiba
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904507588190a303686d176ec3e1 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a56fa048190b32dcef31b978d9c completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b8f325c819097fb5f221ba28b9a completed May 3, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 9, 2026, 9:27 p.m.