Triple

T10847921
Position Surface form Disambiguated ID Type / Status
Subject Paola E256062 entity
Predicate hasNeighbour P5707 FINISHED
Object Tarxien E883513 NE FINISHED

How this triple was built (2 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: Tarxien | Statement: [Paola, hasNeighbour, Tarxien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarxien
Context triple: [Paola, hasNeighbour, Tarxien]
  • A. Tarxien chosen
    Tarxien is a town in the South Eastern Region of Malta known for its prehistoric archaeological sites and dense residential character.
  • B. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • C. 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.
  • D. Brochis
    Brochis is a small genus of South American freshwater catfish closely related to Corydoras and known for their armored bodies and peaceful bottom-dwelling behavior in aquariums.
  • E. Carinyena
    Carinyena, also known as Carignan, is a dark-skinned wine grape variety valued for producing deeply colored, high-acid red wines often used in blends across Mediterranean wine regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.