Triple

T19672508
Position Surface form Disambiguated ID Type / Status
Subject Trunk road T5 E472367 entity
Predicate abbreviation P43 FINISHED
Object T5
T5 is a designated trunk road route, identified by the abbreviation "T5," that serves as a major arterial highway within its regional road network.
 E1389199 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: T5 | Statement: [Trunk road T5, abbreviation, T5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T5
Context triple: [Trunk road T5, abbreviation, T5]
  • A. T5
    T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
  • B. T5
    T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
  • C. T5
    T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
  • D. T5
    T5 is a Transformer-based text-to-text language model developed by Google that treats every NLP task as converting input text to output text.
  • E. T5
    T5 is one of the lines of the Athens tram system, providing light-rail transit service along part of the city’s coastal and urban corridor.
  • 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: T5
Triple: [Trunk road T5, abbreviation, T5]
Generated description
T5 is a designated trunk road route, identified by the abbreviation "T5," that serves as a major arterial highway within its regional road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T5
Target entity description: T5 is a designated trunk road route, identified by the abbreviation "T5," that serves as a major arterial highway within its regional road network.
  • A. T5
    T5 is a major passenger terminal at London Heathrow Airport, primarily serving British Airways and Iberia flights.
  • B. T5
    T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.
  • C. T5
    T5 is a tram line of the Trambesòs light rail network serving the Barcelona metropolitan area.
  • D. T5
    T5 is one of the lines of the Athens tram system, providing light-rail transit service along part of the city’s coastal and urban corridor.
  • E. T5
    T5 is a Transformer-based text-to-text language model developed by Google that treats every NLP task as converting input text to output text.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416d61008190af531c6d346d7da1 completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787c08af48190a7253a74bca96aa6 completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a07889ccc9c8190be812f5c9eb0bfe7 completed May 15, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_6a078a1b11ec81908671f431c39b9496 completed May 15, 2026, 9:03 p.m.
Created at: April 10, 2026, 1:45 p.m.