Triple

T2978317
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz 600 Pullman E80450 entity
Predicate engineCode P44382 FINISHED
Object M100
M100 is a large-displacement V8 engine developed by Mercedes-Benz in the 1960s, renowned for powering the flagship 600 limousine and offering exceptional smoothness and torque.
 E317171 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: M100 | Statement: [Mercedes-Benz 600 Pullman, engineCode, M100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M100
Context triple: [Mercedes-Benz 600 Pullman, engineCode, M100]
  • A. M31*
    M31* is the supermassive black hole located at the core of the Andromeda Galaxy.
  • B. M15
    M15 is a New York City MTA bus route that runs along First and Second Avenues in Manhattan, connecting the East Side to Lower Manhattan and the South Ferry area.
  • C. M11
    M11 is a major motorway in England that connects London to Cambridge and the East Anglia region.
  • D. M110
    M110 is a dwarf elliptical satellite galaxy of the Andromeda Galaxy within the Local Group.
  • E. M8
    M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
  • 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: M100
Triple: [Mercedes-Benz 600 Pullman, engineCode, M100]
Generated description
M100 is a large-displacement V8 engine developed by Mercedes-Benz in the 1960s, renowned for powering the flagship 600 limousine and offering exceptional smoothness and torque.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M100
Target entity description: M100 is a large-displacement V8 engine developed by Mercedes-Benz in the 1960s, renowned for powering the flagship 600 limousine and offering exceptional smoothness and torque.
  • A. M31*
    M31* is the supermassive black hole located at the core of the Andromeda Galaxy.
  • B. M15
    M15 is a New York City MTA bus route that runs along First and Second Avenues in Manhattan, connecting the East Side to Lower Manhattan and the South Ferry area.
  • C. M11
    M11 is a major motorway in England that connects London to Cambridge and the East Anglia region.
  • D. M110
    M110 is a dwarf elliptical satellite galaxy of the Andromeda Galaxy within the Local Group.
  • E. M8
    M8 is a major motorway in Scotland that connects the cities of Glasgow and Edinburgh.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9e11c4188190a3ae8fd0cbd8c2c0 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ef607c8190865b079beb1b6da5 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10bc71c708190b1e620d41278c3e0 completed March 11, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69b10c43a7c48190b63a7b3f0f180d44 completed March 11, 2026, 6:31 a.m.
Created at: March 8, 2026, 2:58 p.m.