Triple

T657490
Position Surface form Disambiguated ID Type / Status
Subject Lichtenfels E11679 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object STE
STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
 E83253 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: STE | Statement: [Lichtenfels, hasVehicleRegistrationCode, STE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STE
Context triple: [Lichtenfels, hasVehicleRegistrationCode, STE]
  • A. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • B. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • C. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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: STE
Triple: [Lichtenfels, hasVehicleRegistrationCode, STE]
Generated description
STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STE
Target entity description: STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • A. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • B. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • C. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3925a14819093336c4217c7e893 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c423047c8190acab387bd28ffa35 completed March 2, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd1dd7848190a987276500040a4f completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.