Triple

T23119040
Position Surface form Disambiguated ID Type / Status
Subject Operation Meridian E576838 entity
Predicate target P860 FINISHED
Object Palembang oil refineries NE NERFINISHED

How this triple was built (3 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: Palembang oil refineries | Statement: [Operation Meridian, target, Palembang oil refineries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palembang oil refineries
Context triple: [Operation Meridian, target, Palembang oil refineries]
  • A. Luilu refinery
    Luilu refinery is a major copper and cobalt processing facility in the Democratic Republic of Congo, integral to Katanga Mining Limited’s production operations.
  • B. Secunda oil refinery
    The Secunda oil refinery is a major South African synthetic fuel and chemical production complex operated by Sasol, known for its role in the country’s apartheid-era industrial infrastructure.
  • C. Duqm refinery
    Duqm refinery is a major oil refining complex in Oman designed to process crude oil into various petroleum products as part of the country’s strategic industrial and economic development.
  • D. Tanjung Langsat Industrial Complex
    Tanjung Langsat Industrial Complex is a major industrial and logistics hub in Johor, Malaysia, known for its petrochemical, maritime, and heavy industries.
  • E. Shell Pernis refinery
    Shell Pernis refinery is one of the largest and most complex oil refineries in Europe, located in the Pernis area of Rotterdam in the Netherlands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Palembang oil refineries
Target entity description: The Palembang oil refineries were major oil-processing facilities in Sumatra that served as a key strategic target for Allied air raids during World War II.
  • A. Luilu refinery
    Luilu refinery is a major copper and cobalt processing facility in the Democratic Republic of Congo, integral to Katanga Mining Limited’s production operations.
  • B. Secunda oil refinery
    The Secunda oil refinery is a major South African synthetic fuel and chemical production complex operated by Sasol, known for its role in the country’s apartheid-era industrial infrastructure.
  • C. Duqm refinery
    Duqm refinery is a major oil refining complex in Oman designed to process crude oil into various petroleum products as part of the country’s strategic industrial and economic development.
  • D. Tanjung Langsat Industrial Complex
    Tanjung Langsat Industrial Complex is a major industrial and logistics hub in Johor, Malaysia, known for its petrochemical, maritime, and heavy industries.
  • E. Shell Pernis refinery
    Shell Pernis refinery is one of the largest and most complex oil refineries in Europe, located in the Pernis area of Rotterdam in the Netherlands.
  • F. None of above. chosen

Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e4ece5481908d05b4b1e6a07db3 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.