Triple

T21855545
Position Surface form Disambiguated ID Type / Status
Subject Banias E539614 entity
Predicate hasInfrastructure P2560 FINISHED
Object Banias oil refinery NE NERFINISHED

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: Banias oil refinery | Statement: [Banias, hasInfrastructure, Banias oil refinery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banias oil refinery
Context triple: [Banias, hasInfrastructure, Banias oil refinery]
  • A. Naftan oil refinery
    Naftan oil refinery is a major Belarusian petroleum processing plant and industrial complex located in the city of Novopolotsk.
  • B. Aspropyrgos oil refinery
    The Aspropyrgos oil refinery is a major Greek petroleum refining complex located near Athens and operated by Hellenic Petroleum, playing a key role in the country’s fuel supply and exports.
  • C. Zarqa oil refinery area
    Zarqa oil refinery area is a major industrial zone in Jordan centered around the country’s principal oil refinery facilities.
  • D. Baniyas Refinery chosen
    Baniyas Refinery is a major Syrian oil refinery complex located in the coastal city of Baniyas, playing a key role in the country’s petroleum processing and energy infrastructure.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d635b59c81908810480f3802b847 completed April 28, 2026, 3:45 p.m.
Created at: April 16, 2026, 6:56 p.m.