Triple

T9239525
Position Surface form Disambiguated ID Type / Status
Subject Saif al-Islam Gaddafi E222022 entity
Predicate placeOfDetention P6464 FINISHED
Object Zintan E244674 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: Zintan | Statement: [Saif al-Islam Gaddafi, placeOfDetention, Zintan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zintan
Context triple: [Saif al-Islam Gaddafi, placeOfDetention, Zintan]
  • A. Zintan chosen
    Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
  • B. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • C. Sennar city
    Sennar city is an urban center in southeastern Sudan historically known as the capital of the Funj Sultanate and now an important town on the Blue Nile.
  • D. Safaga
    Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
  • E. Adigrat
    Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf0a1e49081909c188f1e1e87039b completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077db03048190b9c1f0812da21733 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:30 p.m.