Triple

T13802690
Position Surface form Disambiguated ID Type / Status
Subject Hapag-Lloyd Express E331679 entity
Predicate callsign P1565 FINISHED
Object YELLOW CAB
YELLOW CAB is the airline callsign used by the former German low-cost carrier Hapag-Lloyd Express.
E1062278 NE FINISHED

How this triple was built (4 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: YELLOW CAB | Statement: [Hapag-Lloyd Express, callsign, YELLOW CAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YELLOW CAB
Context triple: [Hapag-Lloyd Express, callsign, YELLOW CAB]
  • A. Taksi
    Taksi was a Jurchen chieftain of the late Ming period and the father of Nurhaci, whose lineage helped lay the foundations for the later Qing dynasty.
  • B. Taksim
    Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
  • C. Taxi
    Taxi is a critically acclaimed American sitcom that aired from 1978 to 1983, following the lives of New York City cab drivers and their dispatcher, and is celebrated for its ensemble cast and blend of comedy and pathos.
  • D. Taxi
    Taxi is a 2015 Iranian docu-fiction film directed by Jafar Panahi, set almost entirely inside a Tehran taxi as it explores everyday life and social issues in contemporary Iran.
  • E. GrabTaxi
    GrabTaxi is a Southeast Asian ride-hailing and transportation platform that began as MyTeksi in Malaysia before expanding regionally under the Grab brand.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: YELLOW CAB
Triple: [Hapag-Lloyd Express, callsign, YELLOW CAB]
Generated description
YELLOW CAB is the airline callsign used by the former German low-cost carrier Hapag-Lloyd Express.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YELLOW CAB
Target entity description: YELLOW CAB is the airline callsign used by the former German low-cost carrier Hapag-Lloyd Express.
  • A. Taksi
    Taksi was a Jurchen chieftain of the late Ming period and the father of Nurhaci, whose lineage helped lay the foundations for the later Qing dynasty.
  • B. Taksim
    Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
  • C. Taxi
    Taxi is a critically acclaimed American sitcom that aired from 1978 to 1983, following the lives of New York City cab drivers and their dispatcher, and is celebrated for its ensemble cast and blend of comedy and pathos.
  • D. Taxi
    Taxi is a 2015 Iranian docu-fiction film directed by Jafar Panahi, set almost entirely inside a Tehran taxi as it explores everyday life and social issues in contemporary Iran.
  • E. GrabTaxi
    GrabTaxi is a Southeast Asian ride-hailing and transportation platform that began as MyTeksi in Malaysia before expanding regionally under the Grab brand.
  • F. None of above. chosen

Provenance (5 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b25c9e5881909d526b38096d6446 completed May 3, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f7b2f1b3848190bc30537d5092ee07 completed May 3, 2026, 8:41 p.m.
Created at: April 9, 2026, 10:12 p.m.