Triple

T16792286
Position Surface form Disambiguated ID Type / Status
Subject Concourse E E408138 entity
Predicate hasGates P4365 FINISHED
Object E20
E20 is an airport departure gate located within Concourse E.
E1233656 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: E20 | Statement: [Concourse E, hasGates, E20]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E20
Context triple: [Concourse E, hasGates, E20]
  • A. E20
    E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
  • B. E 200
    The E 200 is a Mercedes-Benz E-Class executive sedan variant known for its balance of comfort, technology, and efficient performance.
  • C. E22
    E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
  • D. E21
    E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
  • E. E10
    E10 is the internal BMW chassis code for the classic 02 Series compact sports sedans produced in the late 1960s and 1970s.
  • 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: E20
Triple: [Concourse E, hasGates, E20]
Generated description
E20 is an airport departure gate located within Concourse E.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: E20
Target entity description: E20 is an airport departure gate located within Concourse E.
  • A. E20
    E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
  • B. E 200
    The E 200 is a Mercedes-Benz E-Class executive sedan variant known for its balance of comfort, technology, and efficient performance.
  • C. E22
    E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
  • D. E21
    E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
  • E. E10
    E10 is the internal BMW chassis code for the classic 02 Series compact sports sedans produced in the late 1960s and 1970s.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2a6c9888190b3f8f625b299574d completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0e1e9c8190bb2ef0825b25f6e5 completed May 10, 2026, 3:58 p.m.
NEDg Description generation batch_6a00ac1d18c08190969108e567d6eced completed May 10, 2026, 4:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00acc3a9dc819087e07e539760bf34 completed May 10, 2026, 4:05 p.m.
Created at: April 10, 2026, 5:22 a.m.