Triple

T7405395
Position Surface form Disambiguated ID Type / Status
Subject northwestern Tunisia E170856 entity
Predicate hasCity P316 FINISHED
Object Nefza E465364 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: Nefza | Statement: [northwestern Tunisia, hasCity, Nefza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nefza
Context triple: [northwestern Tunisia, hasCity, Nefza]
  • A. Nefza chosen
    Nefza is a town in northwestern Tunisia known for its forests, lakes, and proximity to the Mediterranean coast within the Béja Governorate.
  • B. Safi
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • C. Neshnabé
    Neshnabé is the self-designation used by the Potawatomi people to refer to themselves in their own language.
  • D. Safsufa
    Safsufa is a small village in northern Israel, located in the Upper Galilee region near Mount Meron.
  • E. Nabeina
    Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f271f1d481909a46d50b13b51a62 completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111540f08190919bc9d9670f5ef2 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.