Triple

T1534084
Position Surface form Disambiguated ID Type / Status
Subject TAROM E32510 entity
Predicate hasSubsidiary P254 FINISHED
Object TAROM Cargo E32510 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: TAROM Cargo | Statement: [TAROM, hasSubsidiary, TAROM Cargo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAROM Cargo
Context triple: [TAROM, hasSubsidiary, TAROM Cargo]
  • A. TAROM chosen
    TAROM is the national flag carrier airline of Romania, operating domestic and international flights primarily from its hub in Bucharest.
  • B. Pegasus Airlines
    Pegasus Airlines is a Turkish low-cost carrier based in Istanbul that operates an extensive network of domestic and international flights across Europe, the Middle East, and beyond.
  • C. EuroAtlantic Airways
    EuroAtlantic Airways is a Portuguese charter airline known for operating long-haul and wet-lease services for other carriers worldwide.
  • D. Ibex Airlines
    Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
  • E. Brussels Airlines
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30942dc481908de85bd2ca30c0bd completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.