Triple

T22667484
Position Surface form Disambiguated ID Type / Status
Subject Sfax Governorate E559828 entity
Predicate contains P35 FINISHED
Object Thyna NE NERFINISHED

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: Thyna | Statement: [Sfax Governorate, contains, Thyna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thyna
Context triple: [Sfax Governorate, contains, Thyna]
  • A. Thyna chosen
    Thyna is a town in eastern Tunisia situated near the city of Sfax, known for its proximity to Sfax–Thyna International Airport and nearby archaeological sites.
  • B. Detva
    Detva is a small Slovak town known for its rich folk traditions, distinctive wooden architecture, and scenic location beneath the Poľana mountain in central Slovakia.
  • C. Otaranta
    Otaranta is a residential and campus area within Otaniemi in Espoo, Finland, known for its student housing and proximity to Aalto University.
  • D. Veleti
    The Veleti were a confederation of early medieval West Slavic tribes inhabiting the southern Baltic coast, known for their resistance to neighboring powers such as the early Polish state and the Holy Roman Empire.
  • E. Erna
    Erna is the given name of Erna Schneider Hoover, an American mathematician and pioneering computer scientist known for revolutionizing telephone switching systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ceca08190ba1309570e81c5af completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:09 p.m.