Triple

T323052
Position Surface form Disambiguated ID Type / Status
Subject 2011 Libyan Civil War E6456 entity
Predicate location P40 FINISHED
Object Brega
Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
 E42453 NE FINISHED

How this triple was built (4 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: Brega | Statement: [2011 Libyan Civil War, location, Brega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brega
Context triple: [2011 Libyan Civil War, location, Brega]
  • A. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • B. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • C. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • D. Tosk
    Tosk is the southern variety of Albanian that forms the basis of the standard Albanian language.
  • E. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brega
Triple: [2011 Libyan Civil War, location, Brega]
Generated description
Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brega
Target entity description: Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • A. Agria
    Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
  • B. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • C. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • D. Tosk
    Tosk is the southern variety of Albanian that forms the basis of the standard Albanian language.
  • E. Valbo
    Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
  • F. None of above. chosen

Provenance (5 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea82ba748190bae651f5de908617 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d240b0d881908611456ba7b29fce completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2cf9bb08190bffa5c03147b6aff completed March 1, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69a3d34bbbcc819089cf2123da185eb3 completed March 1, 2026, 5:48 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.