Triple

T7813568
Position Surface form Disambiguated ID Type / Status
Subject EDDB E180744 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 5
Terminal 5 is a passenger terminal at Berlin Brandenburg Airport (EDDB), serving as one of the airport’s main facilities for handling airline operations and travelers.
 E180746 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: Terminal 5 | Statement: [EDDB, hasTerminal, Terminal 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terminal 5
Context triple: [EDDB, hasTerminal, Terminal 5]
  • A. Terminal 5
    Terminal 5 is the international terminal at Chicago O'Hare International Airport, serving most of the airport’s non-domestic and many foreign-flag carriers.
  • B. Terminal 5
    Terminal 5 is a major passenger terminal at John F. Kennedy International Airport in New York City, known for serving as the primary hub for JetBlue Airways.
  • C. Terminal 5
    Terminal 5 is a major, modern passenger terminal at London Heathrow Airport primarily serving British Airways and Iberia flights.
  • D. Terminal 5
    Terminal 5 is a dedicated passenger terminal at Rome’s Leonardo da Vinci–Fiumicino Airport, primarily used for certain international and long-haul flights.
  • E. Terminal 5
    Terminal 5 is a passenger terminal facility at Mehrabad International Airport in Tehran, Iran.
  • 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: Terminal 5
Triple: [EDDB, hasTerminal, Terminal 5]
Generated description
Terminal 5 is a passenger terminal at Berlin Brandenburg Airport (EDDB), serving as one of the airport’s main facilities for handling airline operations and travelers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terminal 5
Target entity description: Terminal 5 is a passenger terminal at Berlin Brandenburg Airport (EDDB), serving as one of the airport’s main facilities for handling airline operations and travelers.
  • A. Terminal 5 chosen
    Terminal 5 is a former passenger terminal at Berlin Brandenburg Airport that primarily handled low-cost and charter flights before being closed to regular operations.
  • B. Terminal 5
    Terminal 5 is a major, modern passenger terminal at London Heathrow Airport primarily serving British Airways and Iberia flights.
  • C. Terminal 5
    Terminal 5 is a dedicated passenger terminal at Rome’s Leonardo da Vinci–Fiumicino Airport, primarily used for certain international and long-haul flights.
  • D. Terminal 5
    Terminal 5 is a passenger terminal facility at Mehrabad International Airport in Tehran, Iran.
  • E. Terminal 5
    Terminal 5 is a major passenger terminal at John F. Kennedy International Airport in New York City, known for serving as the primary hub for JetBlue Airways.
  • F. None of above.

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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78f3d6481909841d64117f657e1 completed March 30, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1472ee908190b073819f3dfad8ee completed March 31, 2026, 12:25 a.m.
NEDg Description generation batch_69cb1732bb608190aa776f23f0dc6189 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a56d25881908b8413b82edf5508 completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:38 p.m.