Triple

T10236685
Position Surface form Disambiguated ID Type / Status
Subject Expressway S19 E243481 entity
Predicate roadNumber P1864 FINISHED
Object S19
S19 is a Polish expressway forming part of the international Via Carpatia route, running north–south through eastern Poland.
 E852942 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: S19 | Statement: [Expressway S19, roadNumber, S19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S19
Context triple: [Expressway S19, roadNumber, S19]
  • A. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • B. S11
    S11 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving regional passenger traffic across the metropolitan area.
  • C. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • D. S1
    S1 is a key commuter rail line of the Stuttgart S-Bahn network, connecting central Stuttgart with its surrounding suburbs and regional destinations.
  • E. S1
    S1 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
  • 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: S19
Triple: [Expressway S19, roadNumber, S19]
Generated description
S19 is a Polish expressway forming part of the international Via Carpatia route, running north–south through eastern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S19
Target entity description: S19 is a Polish expressway forming part of the international Via Carpatia route, running north–south through eastern Poland.
  • A. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • B. S11
    S11 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving regional passenger traffic across the metropolitan area.
  • C. S1
    S1 is a key commuter rail line of the Berlin S-Bahn network, connecting central Berlin with its northern and southwestern suburbs.
  • D. S1
    S1 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
  • E. S1
    S1 is a commuter rail line of the Nuremberg S-Bahn network serving the greater Nuremberg metropolitan area in Germany.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d219ab04819094a17c96bf1d65ae completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f762732481909246dcb768074643 completed April 9, 2026, 12:48 a.m.
NEDg Description generation batch_69d6fcaa16788190a4c7ef79a78febc6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd6d705c81908e469068937a79b3 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:22 a.m.