Triple

T15606836
Position Surface form Disambiguated ID Type / Status
Subject Serra da Lousã E375179 entity
Predicate contains P35 FINISHED
Object Candal
Candal is a traditional schist village in central Portugal, known for its stone houses, scenic mountain setting, and inclusion among the historic Aldeias do Xisto.
 E1166851 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: Candal | Statement: [Serra da Lousã, contains, Candal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Candal
Context triple: [Serra da Lousã, contains, Candal]
  • A. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • B. Ceddo
    Ceddo is a 1977 Senegalese film by Ousmane Sembène that critiques religious and colonial imposition through the story of a traditional community resisting forced conversion and external domination.
  • C. Melaque
    Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
  • D. Cotyora
    Cotyora was an ancient Greek city on the southern coast of the Black Sea in the region of Pontus, known as a colony of Sinope and a waypoint in Xenophon’s Anabasis.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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: Candal
Triple: [Serra da Lousã, contains, Candal]
Generated description
Candal is a traditional schist village in central Portugal, known for its stone houses, scenic mountain setting, and inclusion among the historic Aldeias do Xisto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Candal
Target entity description: Candal is a traditional schist village in central Portugal, known for its stone houses, scenic mountain setting, and inclusion among the historic Aldeias do Xisto.
  • A. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • B. Ceddo
    Ceddo is a 1977 Senegalese film by Ousmane Sembène that critiques religious and colonial imposition through the story of a traditional community resisting forced conversion and external domination.
  • C. Melaque
    Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
  • D. Cotyora
    Cotyora was an ancient Greek city on the southern coast of the Black Sea in the region of Pontus, known as a colony of Sinope and a waypoint in Xenophon’s Anabasis.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d51c28819097b8c2c0e2307401 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 4:13 a.m.