Triple

T18658885
Position Surface form Disambiguated ID Type / Status
Subject Tabarchini community E456137 entity
Predicate associatedWith P37 FINISHED
Object Tabarka 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: Tabarka | Statement: [Tabarchini community, associatedWith, Tabarka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabarka
Context triple: [Tabarchini community, associatedWith, Tabarka]
  • A. Tabarka chosen
    Tabarka is a coastal town in northwestern Tunisia known for its picturesque beaches, coral-rich waters, and distinctive rock formations that make it a popular tourist destination.
  • B. Viva Bahriya
    Viva Bahriya is a residential waterfront precinct in The Pearl-Qatar known for its beachfront towers, marina views, and resort-style living.
  • C. As-Samu
    As-Samu is a Palestinian town in the southern West Bank known for its agricultural character and proximity to the city of Hebron.
  • D. Bab an-Nasr
    Bab an-Nasr is a monumental fortified gate in historic Cairo, Egypt, renowned as one of the main northern entrances to the medieval city walls.
  • E. Esse Baharmast
    Esse Baharmast is a former American soccer referee known for officiating at the highest levels of the sport, including Major League Soccer and the FIFA World Cup.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55087ae8081909cb4c0ce6c809d55 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.