Triple

T4303544
Position Surface form Disambiguated ID Type / Status
Subject Hippo Regius E99898 entity
Predicate locatedInPresentDay P40 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: [Hippo Regius, locatedInPresentDay, Annaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annaba
Context triple: [Hippo Regius, locatedInPresentDay, Annaba]
  • A. Annaba chosen
    Annaba is a major port city in northeastern Algeria, known for its Mediterranean coastline, industrial activity, and historical significance.
  • B. 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.
  • C. 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.
  • D. Annaba Province
    Annaba Province is an administrative region in northeastern Algeria, centered around the coastal city of Annaba and known for its Mediterranean shoreline and industrial activities.
  • E. Beji
    Beji is the given name of Beji Caid Essebsi, the Tunisian politician who served as president of Tunisia after the 2011 revolution.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350b792608190ac778b79c740256a completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7507f1081909cf737dff00542d9 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.