Triple

T15407950
Position Surface form Disambiguated ID Type / Status
Subject Italian North Africa E368510 entity
Predicate containsCity P294 FINISHED
Object Tobruk E89452 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: Tobruk | Statement: [Italian North Africa, containsCity, Tobruk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobruk
Context triple: [Italian North Africa, containsCity, Tobruk]
  • A. Tobruk chosen
    Tobruk is a strategic port city on Libya’s Mediterranean coast that gained historical significance as the site of major World War II battles and sieges.
  • B. Bengasi
    Bengasi is a metro station on the Turin Metro system in Turin, Italy.
  • C. Kasserine
    Kasserine is a city in west-central Tunisia known for its role as a major center of protest and unrest during the Tunisian Revolution.
  • D. Tobruk District
    Tobruk District is an administrative region in eastern Libya centered on the port city of Tobruk, known for its strategic coastal location and historical significance.
  • E. Sirte, Libya
    Sirte, Libya is a coastal city on the Mediterranean Sea that gained international prominence as Muammar Gaddafi’s final stronghold and the site of his death during the 2011 Libyan civil war.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135bcb5c8190a1f43c6bb6a0e53c completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.