Triple

T2331397
Position Surface form Disambiguated ID Type / Status
Subject Ajdabiya E44209 entity
Predicate nearbyCity P350 FINISHED
Object Brega E42453 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: Brega | Statement: [Ajdabiya, nearbyCity, Brega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brega
Context triple: [Ajdabiya, nearbyCity, Brega]
  • A. Brega chosen
    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.
  • B. Grocka
    Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
  • C. Breage
    Breage is a rural village and civil parish in west Cornwall, England, known for its historic church and traditional Cornish mining heritage.
  • D. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • E. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc669956881908b8d9784d6a06acf completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae89773c88819087a294d7c0f90f73 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:51 p.m.