Triple

T10988308
Position Surface form Disambiguated ID Type / Status
Subject Rhön-Grabfeld E259686 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object NES
NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
E898358 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: NES | Statement: [Rhön-Grabfeld, hasVehicleRegistrationCode, NES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NES
Context triple: [Rhön-Grabfeld, hasVehicleRegistrationCode, NES]
  • A. NES
    NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
  • B. Nintendo consoles
    Nintendo consoles are a series of home and handheld video game systems created by Nintendo, known for iconic hardware like the NES, Game Boy, Wii, and Switch and for hosting many of the company’s flagship game franchises.
  • C. Nintendo DS
    The Nintendo DS is a dual-screen handheld gaming console released by Nintendo that popularized touch-based gameplay and wireless multiplayer features.
  • D. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • E. Nes
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • 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: NES
Triple: [Rhön-Grabfeld, hasVehicleRegistrationCode, NES]
Generated description
NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NES
Target entity description: NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
  • A. NES
    NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
  • B. Nintendo consoles
    Nintendo consoles are a series of home and handheld video game systems created by Nintendo, known for iconic hardware like the NES, Game Boy, Wii, and Switch and for hosting many of the company’s flagship game franchises.
  • C. Nintendo DS
    The Nintendo DS is a dual-screen handheld gaming console released by Nintendo that popularized touch-based gameplay and wireless multiplayer features.
  • D. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • E. Nes
    Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b574d08190adec34b814a26437 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.