Triple

T13802689
Position Surface form Disambiguated ID Type / Status
Subject Hapag-Lloyd Express E331679 entity
Predicate ICAOCode P419 FINISHED
Object HLX
HLX is the ICAO airline designator for Hapag-Lloyd Express, a former German low-cost carrier.
 E1062277 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: HLX | Statement: [Hapag-Lloyd Express, ICAOCode, HLX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLX
Context triple: [Hapag-Lloyd Express, ICAOCode, HLX]
  • A. HXL
    HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
  • B. LHX
    LHX is the stock ticker symbol for L3Harris Technologies, a major American defense and aerospace technology company.
  • C. HLU
    HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
  • D. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • E. HLC
    HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
  • 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: HLX
Triple: [Hapag-Lloyd Express, ICAOCode, HLX]
Generated description
HLX is the ICAO airline designator for Hapag-Lloyd Express, a former German low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLX
Target entity description: HLX is the ICAO airline designator for Hapag-Lloyd Express, a former German low-cost carrier.
  • A. HXL
    HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
  • B. LHX
    LHX is the stock ticker symbol for L3Harris Technologies, a major American defense and aerospace technology company.
  • C. HLU
    HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
  • D. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • E. HLC
    HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
  • 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.