Triple

T18804059
Position Surface form Disambiguated ID Type / Status
Subject Eschborn E459827 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MTK E792544 NE 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: MTK | Statement: [Eschborn, vehicleRegistrationCode, MTK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MTK
Context triple: [Eschborn, vehicleRegistrationCode, MTK]
  • A. MTK chosen
    MTK is the vehicle registration code for the Main-Taunus-Kreis district in the German state of Hesse.
  • B. MTK
    MTK is the station code for Montauk station, a Long Island Rail Road terminus located in Montauk, New York.
  • C. MediaTek
    MediaTek is a Taiwanese semiconductor company best known for designing affordable, high-integration system-on-chip solutions for smartphones and other consumer electronics.
  • D. MediaTek Pump Express
    MediaTek Pump Express is a fast-charging technology developed by MediaTek for rapidly recharging compatible mobile devices while managing heat and power efficiency.
  • E. MTKView
    MTKView is a specialized view class in Apple’s MetalKit framework that simplifies displaying and managing Metal-rendered graphics content in macOS and iOS apps.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a025faf48190be07086071df5b34 completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a054725edbc819099ad8200394653ec completed May 14, 2026, 3:53 a.m.
Created at: April 10, 2026, 11:53 a.m.