Triple

T8882785
Position Surface form Disambiguated ID Type / Status
Subject Ehrwald E211450 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object RE
RE is a vehicle registration code used in parts of Austria, including the area around Ehrwald.
E764268 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: RE | Statement: [Ehrwald, hasVehicleRegistrationCode, RE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RE
Context triple: [Ehrwald, hasVehicleRegistrationCode, RE]
  • A. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • B. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • C. RE
    RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
  • D. RE
    RE is a centrist, pro-European French political party founded by Emmanuel Macron and formerly known as La République En Marche!.
  • E. Re
    Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
  • 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: RE
Triple: [Ehrwald, hasVehicleRegistrationCode, RE]
Generated description
RE is a vehicle registration code used in parts of Austria, including the area around Ehrwald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RE
Target entity description: RE is a vehicle registration code used in parts of Austria, including the area around Ehrwald.
  • A. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • B. RE
    RE is the abbreviation for RegioExpress, a category of regional express trains commonly used in European rail transport.
  • C. RE
    RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
  • D. RE
    RE is a centrist, pro-European French political party founded by Emmanuel Macron and formerly known as La République En Marche!.
  • E. Re
    Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616a01f48190b8bbde0e898a38c7 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabca74888190934593d6504fbed1 completed April 3, 2026, noon
NEDg Description generation batch_69cfac9c743c8190a26f753111f07281 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad54cf5c81908558fd4c21f2f3b6 completed April 3, 2026, 12:06 p.m.
Created at: March 30, 2026, 6:53 p.m.