Triple

T16792273
Position Surface form Disambiguated ID Type / Status
Subject Concourse E E408138 entity
Predicate hasGates P4365 FINISHED
Object E7
E7 is an airport departure gate located within Concourse E.
E1233651 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: E7 | Statement: [Concourse E, hasGates, E7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E7
Context triple: [Concourse E, hasGates, E7]
  • A. E70
    E70 is a Nokia Eseries smartphone known for its fold-out full QWERTY keyboard and business-oriented features.
  • B. E70
    E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
  • C. E75
    E75 is a major north–south European route running from northern Norway through central Europe to Greece, forming part of the international E-road network.
  • D. E75
    The E75 is a Nokia Eseries smartphone known for its slide-out QWERTY keyboard and business-oriented features.
  • E. E71
    The E71 is a Nokia smartphone from the Eseries line, known for its full QWERTY keyboard, slim metal design, and business-oriented features.
  • 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: E7
Triple: [Concourse E, hasGates, E7]
Generated description
E7 is an airport departure gate located within Concourse E.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: E7
Target entity description: E7 is an airport departure gate located within Concourse E.
  • A. E70
    E70 is a Nokia Eseries smartphone known for its fold-out full QWERTY keyboard and business-oriented features.
  • B. E70
    E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
  • C. E75
    E75 is a major north–south European route running from northern Norway through central Europe to Greece, forming part of the international E-road network.
  • D. E75
    The E75 is a Nokia Eseries smartphone known for its slide-out QWERTY keyboard and business-oriented features.
  • E. E71
    The E71 is a Nokia smartphone from the Eseries line, known for its full QWERTY keyboard, slim metal design, and business-oriented features.
  • 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.