Triple

T2229906
Position Surface form Disambiguated ID Type / Status
Subject Lufthansa E48740 entity
Predicate ICAOcode P419 FINISHED
Object DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
 E245434 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: DLH | Statement: [Lufthansa, ICAOcode, DLH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DLH
Context triple: [Lufthansa, ICAOcode, DLH]
  • A. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • B. 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.
  • C. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • D. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • E. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • 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: DLH
Triple: [Lufthansa, ICAOcode, DLH]
Generated description
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DLH
Target entity description: DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
  • A. Dellner
    Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
  • B. 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.
  • C. DH
    DH is the official abbreviation for Puerto Rico’s Department of Treasury, the government agency responsible for managing the island’s fiscal and tax affairs.
  • D. DH
    DH is the commonly used currency symbol representing the Moroccan dirham.
  • E. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc069e0ac8190bcda8cba9f5c7a5d completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae656a1f788190a08c3283bfedb6f4 completed March 9, 2026, 6:15 a.m.
NEDg Description generation batch_69ae65d4f26481909808c97b95ca9b30 completed March 9, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae6670b6d88190a09023fae63f4000 completed March 9, 2026, 6:19 a.m.
Created at: March 4, 2026, 7:47 p.m.