Triple

T6938261
Position Surface form Disambiguated ID Type / Status
Subject Henri Coandă International Airport E160605 entity
Predicate hubFor P423 FINISHED
Object TAROM 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 | Statement: [Henri Coandă International Airport, hubFor, TAROM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAROM
Context triple: [Henri Coandă International Airport, hubFor, TAROM]
  • A. TAROM chosen
    TAROM is the national flag carrier airline of Romania, operating domestic and international flights primarily from its hub in Bucharest.
  • B. Turkish Airlines
    Turkish Airlines is the national flag carrier airline of Turkey, operating an extensive global network of passenger and cargo flights across Europe, Asia, Africa, and the Americas.
  • C. Hunnu Air
    Hunnu Air is a Mongolian airline that operates domestic and regional international flights, primarily serving as a key carrier based in Ulaanbaatar.
  • D. 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.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da62d2f88190968d3fea538a95c9 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515509148190b5739cdf8cd7a28a completed March 28, 2026, 3:56 a.m.
Created at: March 27, 2026, 2:28 p.m.