Triple

T3889618
Position Surface form Disambiguated ID Type / Status
Subject Rats of Tobruk E88026 entity
Predicate namedAfter P63 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: [Rats of Tobruk, namedAfter, Tobruk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tobruk
Context triple: [Rats of Tobruk, namedAfter, 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. 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.
  • C. 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.
  • D. Ajdabiya
    Ajdabiya is a strategic town in northeastern Libya that became a key battleground during the 2011 Libyan Civil War due to its location on major coastal and desert routes.
  • E. Hamina
    Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecaee7148190ada451ccfc6582ee completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52848b5688190aa49774dcd037097 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:21 p.m.