Triple

T9054236
Position Surface form Disambiguated ID Type / Status
Subject Zawia E216956 entity
Predicate governingSubdivision P39347 FINISHED
Object Zawiya District E220816 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: Zawiya District | Statement: [Zawia, governingSubdivision, Zawiya District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zawiya District
Context triple: [Zawia, governingSubdivision, Zawiya District]
  • A. Zawiya District chosen
    Zawiya District is an administrative region in northwestern Libya that includes the coastal city of Zawiya and surrounding areas along the Mediterranean.
  • B. Ibn Ziad District
    Ibn Ziad District is an administrative district located within Constantine Province in northeastern Algeria.
  • C. Chetaïbi District
    Chetaïbi District is an administrative district in northeastern Algeria, situated within Annaba Province along the Mediterranean coast.
  • D. Salhiya district
    Salhiya district is a central neighborhood in Kuwait City known for its commercial complexes, offices, and residential areas.
  • E. Hadjout District
    Hadjout District is an administrative district in northern Algeria, situated within Tipaza Province and centered around the town of Hadjout.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a72e2dc8190a16deff8abe701b1 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebdb01a8819084365c9b73506a28 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.