Triple

T13366161
Position Surface form Disambiguated ID Type / Status
Subject Mercedes-Benz EQE E318943 entity
Predicate emission P46939 FINISHED
Object zero tailpipe emissions LITERAL FINISHED

How this triple was built (2 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: zero tailpipe emissions | Statement: [Mercedes-Benz EQE, emission, zero tailpipe emissions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emission
Context triple: [Mercedes-Benz EQE, emission, zero tailpipe emissions]
  • A. emissionType chosen
    Indicates the specific category or kind of emission associated with an entity or activity.
  • B. emitted
    Indicates that one entity has released, discharged, or sent out another entity, such as energy, particles, signals, or substances, into its surroundings.
  • C. emissionCharacteristic
    Indicates a relationship where an entity is associated with a specific property or quality of its emissions (such as type, level, or pattern of emission).
  • D. emissionsControl
    Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
  • E. emitsSpectrum
    Indicates that one entity produces or gives off electromagnetic radiation characterized by a particular spectrum.
  • F. None of above.

Provenance (3 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69d9a02c9abc8190b328e7bae747bfc5 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:32 p.m.