Triple

T12739576
Position Surface form Disambiguated ID Type / Status
Subject Karşıyaka E304452 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Goncalar
Goncalar is a neighborhood located within the district of Karşıyaka in Turkey.
E1000756 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: Goncalar | Statement: [Karşıyaka, hasNeighbourhood, Goncalar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goncalar
Context triple: [Karşıyaka, hasNeighbourhood, Goncalar]
  • A. Carvalhal
    Carvalhal is a civil parish located within the municipality of Abrantes in central Portugal.
  • B. Carvalhal
    Carvalhal is a civil parish in the municipality of Grândola, located in Portugal’s Alentejo region.
  • C. Teixeira
    Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
  • D. Goleto
    Goleto is a historic monastic site in southern Italy, known for its medieval abbey founded in the 12th century.
  • E. Carvalho
    Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
  • 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: Goncalar
Triple: [Karşıyaka, hasNeighbourhood, Goncalar]
Generated description
Goncalar is a neighborhood located within the district of Karşıyaka in Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goncalar
Target entity description: Goncalar is a neighborhood located within the district of Karşıyaka in Turkey.
  • A. Carvalhal
    Carvalhal is a civil parish in the municipality of Grândola, located in Portugal’s Alentejo region.
  • B. Carvalhal
    Carvalhal is a civil parish located within the municipality of Abrantes in central Portugal.
  • C. Teixeira
    Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
  • D. Goleto
    Goleto is a historic monastic site in southern Italy, known for its medieval abbey founded in the 12th century.
  • E. Carvalho
    Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646dfc908190bc398935d1d23537 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8ff57c8190a935b5c9f4bb5aa3 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:26 p.m.