Triple

T4018330
Position Surface form Disambiguated ID Type / Status
Subject Punta La Marmora E91218 entity
Predicate alsoKnownAs P39 FINISHED
Object Perdas Carpìas
Perdas Carpìas is an alternative local name for Punta La Marmora, the highest mountain peak in Sardinia, Italy.
E405610 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: Perdas Carpìas | Statement: [Punta La Marmora, alsoKnownAs, Perdas Carpìas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perdas Carpìas
Context triple: [Punta La Marmora, alsoKnownAs, Perdas Carpìas]
  • A. Yungas
    Yungas is a humid, forested ecoregion along the eastern slopes of the Andes, known for its rich biodiversity and steep, cloud-covered valleys.
  • B. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • C. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • D. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • E. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • 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: Perdas Carpìas
Triple: [Punta La Marmora, alsoKnownAs, Perdas Carpìas]
Generated description
Perdas Carpìas is an alternative local name for Punta La Marmora, the highest mountain peak in Sardinia, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Perdas Carpìas
Target entity description: Perdas Carpìas is an alternative local name for Punta La Marmora, the highest mountain peak in Sardinia, Italy.
  • A. Yungas
    Yungas is a humid, forested ecoregion along the eastern slopes of the Andes, known for its rich biodiversity and steep, cloud-covered valleys.
  • B. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • C. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • D. Ouahigouya
    Ouahigouya is a major city in northern Burkina Faso known as an important commercial and administrative center of the region.
  • E. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa984948190a252eaeb9dbae454 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c792d948190aed89f2a52d65688 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54cf4bee08190917836fe16f02403 completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b54d853f3881909f6ab8b83ad0e064 completed March 14, 2026, 11:59 a.m.
Created at: March 9, 2026, 3:35 p.m.