Triple

T8930227
Position Surface form Disambiguated ID Type / Status
Subject MAN TGS E212633 entity
Predicate relatedModel P37 FINISHED
Object MAN TGM
The MAN TGM is a versatile medium-duty truck series produced by MAN Truck & Bus, commonly used for distribution, municipal services, and light construction applications.
 E766236 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: MAN TGM | Statement: [MAN TGS, relatedModel, MAN TGM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAN TGM
Context triple: [MAN TGS, relatedModel, MAN TGM]
  • A. MAN TGS
    MAN TGS is a heavy-duty truck series produced by the German manufacturer MAN, designed primarily for demanding construction, distribution, and long-haul transport applications.
  • B. TGM
    TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
  • C. TMG
    TMG is the governing body responsible for administering Tokyo Metropolis, including its 23 special wards and surrounding municipalities.
  • D. MG TF
    The MG TF is a small British two-seat sports car produced by MG, known for its agile handling and classic roadster styling.
  • E. TfGM
    TfGM is the public body responsible for planning, coordinating, and improving public transport and related infrastructure across the Greater Manchester region in England.
  • 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: MAN TGM
Triple: [MAN TGS, relatedModel, MAN TGM]
Generated description
The MAN TGM is a versatile medium-duty truck series produced by MAN Truck & Bus, commonly used for distribution, municipal services, and light construction applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAN TGM
Target entity description: The MAN TGM is a versatile medium-duty truck series produced by MAN Truck & Bus, commonly used for distribution, municipal services, and light construction applications.
  • A. MAN TGS
    MAN TGS is a heavy-duty truck series produced by the German manufacturer MAN, designed primarily for demanding construction, distribution, and long-haul transport applications.
  • B. TGM
    TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
  • C. TMG
    TMG is the governing body responsible for administering Tokyo Metropolis, including its 23 special wards and surrounding municipalities.
  • D. MG TF
    The MG TF is a small British two-seat sports car produced by MG, known for its agile handling and classic roadster styling.
  • E. TfGM
    TfGM is the public body responsible for planning, coordinating, and improving public transport and related infrastructure across the Greater Manchester region in England.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6676d5d881908ce78cbb5561a68b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba63544081909394500f28b34ccb completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbc685bf08190a716a28cc9bcd031 completed April 3, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_69cfbcc19ee081909e564040fea2ad9a completed April 3, 2026, 1:12 p.m.
Created at: March 30, 2026, 6:57 p.m.