Triple

T14888000
Position Surface form Disambiguated ID Type / Status
Subject Tramway T7 E359677 entity
Predicate lineNumber P1864 FINISHED
Object T7
T7 is a tram line designation used in the Île-de-France public transport network around Paris.
 E1126153 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: T7 | Statement: [Tramway T7, lineNumber, T7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T7
Context triple: [Tramway T7, lineNumber, T7]
  • A. TB-7
    TB-7, later known as the Petlyakov Pe-8, was a Soviet four-engined heavy bomber used during World War II for long-range strategic bombing missions.
  • B. T8
    T8 is a Sydney Trains suburban rail line serving the Airport, Inner South, and South Western suburbs of Sydney, Australia.
  • C. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • D. T4
    T4 is the large, modern main passenger terminal at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, known for its distinctive architecture and extensive international flight operations.
  • E. T4
    T4 is the fourth passenger terminal at Melbourne Airport, serving as one of the airport’s main facilities for domestic and low-cost airline operations.
  • 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: T7
Triple: [Tramway T7, lineNumber, T7]
Generated description
T7 is a tram line designation used in the Île-de-France public transport network around Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T7
Target entity description: T7 is a tram line designation used in the Île-de-France public transport network around Paris.
  • A. TB-7
    TB-7, later known as the Petlyakov Pe-8, was a Soviet four-engined heavy bomber used during World War II for long-range strategic bombing missions.
  • B. T8
    T8 is a Sydney Trains suburban rail line serving the Airport, Inner South, and South Western suburbs of Sydney, Australia.
  • C. T4
    T4 is one of the lines of the Athens tram system, providing urban light-rail service across part of the Athens metropolitan area.
  • D. T4
    T4 is the large, modern main passenger terminal at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, known for its distinctive architecture and extensive international flight operations.
  • E. T4
    T4 is the fourth passenger terminal at Melbourne Airport, serving as one of the airport’s main facilities for domestic and low-cost airline operations.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f6cf5c8190b6b28f58fafe5d59 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5f22c08190a9530cbd78cfc801 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6f9b33748190aee0c27879866ca1 completed May 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69fe703e8c28819081b7bfe638a2202e completed May 8, 2026, 11:22 p.m.
Created at: April 10, 2026, 2:08 a.m.