Triple

T7569862
Position Surface form Disambiguated ID Type / Status
Subject Rabah Bitat Airport E179211 entity
Predicate cityServed P82 FINISHED
Object Annaba E33533 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: Annaba | Statement: [Rabah Bitat Airport, cityServed, Annaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annaba
Context triple: [Rabah Bitat Airport, cityServed, Annaba]
  • A. Annaba chosen
    Annaba is a major port city in northeastern Algeria, known for its Mediterranean coastline, industrial activity, and historical significance.
  • B. Maaloula
    Maaloula is a historic Syrian mountain village renowned as one of the last places where Western Neo-Aramaic, a modern descendant of the language of Jesus, is still spoken.
  • C. Annaba District
    Annaba District is an administrative district in northeastern Algeria centered on the coastal city of Annaba, a major Mediterranean port and industrial hub.
  • D. Medeba
    Medeba is an ancient city east of the Dead Sea, known from biblical accounts and later as a significant settlement in the region of Moab.
  • E. Radès
    Radès is a coastal city in northern Tunisia known for its major sports facilities, including the national stadium that hosts prominent football clubs and international events.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f91ec780819099de6227a27bf5a5 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7b042c8819098e345be61bbe943 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 3:51 p.m.