Triple

T8930192
Position Surface form Disambiguated ID Type / Status
Subject MAN TGS E212633 entity
Predicate predecessor P97 FINISHED
Object MAN TGA
MAN TGA is a heavy-duty truck series produced by MAN Truck & Bus, known for its use in long-haul and construction transport before being succeeded by the MAN TGS.
 E766232 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 TGA | Statement: [MAN TGS, predecessor, MAN TGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAN TGA
Context triple: [MAN TGS, predecessor, MAN TGA]
  • 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. MAN TGX
    The MAN TGX is a heavy-duty truck series produced by German manufacturer MAN, known for its long-haul efficiency, advanced driver assistance systems, and robust performance in commercial transport.
  • C. TGS
    TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
  • D. TGM
    TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
  • E. TMG
    TMG is the governing body responsible for administering Tokyo Metropolis, including its 23 special wards and surrounding municipalities.
  • 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 TGA
Triple: [MAN TGS, predecessor, MAN TGA]
Generated description
MAN TGA is a heavy-duty truck series produced by MAN Truck & Bus, known for its use in long-haul and construction transport before being succeeded by the MAN TGS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAN TGA
Target entity description: MAN TGA is a heavy-duty truck series produced by MAN Truck & Bus, known for its use in long-haul and construction transport before being succeeded by the MAN TGS.
  • 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. MAN TGX
    The MAN TGX is a heavy-duty truck series produced by German manufacturer MAN, known for its long-haul efficiency, advanced driver assistance systems, and robust performance in commercial transport.
  • C. TGS
    TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
  • D. TGM
    TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
  • E. TMG
    TMG is the governing body responsible for administering Tokyo Metropolis, including its 23 special wards and surrounding municipalities.
  • 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.