Triple

T7359294
Position Surface form Disambiguated ID Type / Status
Subject Battle of Derna (1805) E169704 entity
Predicate location P40 FINISHED
Object Derna E50126 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: Derna | Statement: [Battle of Derna (1805), location, Derna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derna
Context triple: [Battle of Derna (1805), location, Derna]
  • A. Derna chosen
    Derna is a coastal city in eastern Libya known for its strategic location, turbulent political history, and role as a focal point in the country's conflicts.
  • B. Marsa al-Brega
    Marsa al-Brega is a coastal industrial town in northeastern Libya known for its major oil refinery and petrochemical facilities on the Gulf of Sidra.
  • C. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • D. Safita
    Safita is a historic hilltop town in western Syria known for its prominent Crusader-era fortress, the White Tower.
  • E. Al Bayda
    Al Bayda is a city in northeastern Libya that serves as one of the main urban centers of the Cyrenaica region.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f13db3488190ad35725c4fc60ffe completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab0247081909c25a8d14fa07fd4 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.