Triple

T8369213
Position Surface form Disambiguated ID Type / Status
Subject VVNB E197410 entity
Predicate hasTerminal P182 FINISHED
Object Terminal 2
Terminal 2 is a passenger terminal at an airport, serving as a dedicated facility for check-in, security, boarding, and arrivals operations.
E729417 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 2 | Statement: [VVNB, hasTerminal, Terminal 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal 2
Context triple: [VVNB, hasTerminal, Terminal 2]
  • A. Terminal 2
    Terminal 2 is one of the main passenger terminals at Manchester Airport, handling a large share of the airport’s international and domestic flights.
  • B. Terminal 2
    Terminal 2 is one of the main passenger terminals at Ontario International Airport in Southern California, serving domestic airline operations and traveler services.
  • C. Terminal 2
    Terminal 2 is one of the passenger terminals at Chicago O'Hare International Airport, serving various domestic and regional flights with multiple concourses and airline operations.
  • D. Terminal 2
    Terminal 2 is a secondary passenger terminal at Lisbon’s Humberto Delgado Airport, mainly serving low-cost and regional airlines.
  • E. Terminal 2
    Terminal 2 is one of the main passenger terminals at Oakland International Airport, serving commercial airline flights and associated traveler services.
  • 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 2
Triple: [VVNB, hasTerminal, Terminal 2]
Generated description
Terminal 2 is a passenger terminal at an airport, serving as a dedicated facility for check-in, security, boarding, and arrivals operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terminal 2
Target entity description: Terminal 2 is a passenger terminal at an airport, serving as a dedicated facility for check-in, security, boarding, and arrivals operations.
  • A. Terminal 2
    Terminal 2 is one of the passenger terminals at Birmingham Airport, serving as a facility for check-in, security, boarding, and arrivals operations.
  • B. Terminal 2
    Terminal 2 is one of the main passenger terminals at Hamburg Airport, handling check-in, security, and boarding for various domestic and international flights.
  • C. Terminal 2
    Terminal 2 is one of the main passenger terminals at Zurich Airport, handling a significant share of the airport’s check-in, security, and boarding operations.
  • D. Terminal 2
    Terminal 2 is one of the main passenger terminals at Adolfo Suárez Madrid–Barajas Airport, serving numerous domestic and international flights with check-in, boarding, and baggage facilities.
  • E. Terminal 2
    Terminal 2 is one of the main passenger terminals at Beijing Capital International Airport, serving numerous domestic and international flights with extensive check-in, boarding, and passenger facilities.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808f7c0481909fef5834cb6e7a3e completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7d0a6d081909ffe138f80605992 completed April 2, 2026, 3:51 a.m.
NEDg Description generation batch_69cdeb2209908190a9c2b7258295561e completed April 2, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_69cdec53410c8190b4c5e412922801dd completed April 2, 2026, 4:10 a.m.
Created at: March 30, 2026, 6:01 p.m.