Triple

T5840617
Position Surface form Disambiguated ID Type / Status
Subject SL79 tram E129582 entity
Predicate manufacturer P490 FINISHED
Object Duewag
Duewag was a prominent German manufacturer of trams and light rail vehicles, widely used in many European public transport systems.
 E551922 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: Duewag | Statement: [SL79 tram, manufacturer, Duewag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duewag
Context triple: [SL79 tram, manufacturer, Duewag]
  • A. Estwedus
    Estwedus is the ancient name of the city now known as Aspendos, a prominent Greco-Roman settlement in Pamphylia, famed for its well-preserved Roman theater in modern-day Turkey.
  • B. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • C. Burradon
    Burradon is a village in Tyne and Wear, England, historically associated with coal mining and situated near Killingworth.
  • D. Dodowa
    Dodowa is a town in southern Ghana that serves as the capital of the Shai-Osudoku District and is known for its historic role in the Anglo-Ashanti wars and the nearby Dodowa Forest and waterfalls.
  • E. Donder
    Donder is one of Santa Claus’s traditional reindeer, often listed alongside Dancer and the other members of his Christmas sleigh team.
  • 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: Duewag
Triple: [SL79 tram, manufacturer, Duewag]
Generated description
Duewag was a prominent German manufacturer of trams and light rail vehicles, widely used in many European public transport systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duewag
Target entity description: Duewag was a prominent German manufacturer of trams and light rail vehicles, widely used in many European public transport systems.
  • A. Estwedus
    Estwedus is the ancient name of the city now known as Aspendos, a prominent Greco-Roman settlement in Pamphylia, famed for its well-preserved Roman theater in modern-day Turkey.
  • B. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • C. Burradon
    Burradon is a village in Tyne and Wear, England, historically associated with coal mining and situated near Killingworth.
  • D. Dodowa
    Dodowa is a town in southern Ghana that serves as the capital of the Shai-Osudoku District and is known for its historic role in the Anglo-Ashanti wars and the nearby Dodowa Forest and waterfalls.
  • E. Donder
    Donder is one of Santa Claus’s traditional reindeer, often listed alongside Dancer and the other members of his Christmas sleigh team.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d6f09c81908dfb3c2c51a2f5a9 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a572f52481908fc4f2a833fd8edf completed March 23, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0a5d17d5c8190a5fe816d29400894 completed March 23, 2026, 2:30 a.m.
Created at: March 22, 2026, 3:54 p.m.