Triple

T9093206
Position Surface form Disambiguated ID Type / Status
Subject Gifhorn E217943 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object GF
GF is the vehicle registration code used on license plates for the district of Gifhorn in Lower Saxony, Germany.
E778260 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: GF | Statement: [Gifhorn, vehicleRegistrationCode, GF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GF
Context triple: [Gifhorn, vehicleRegistrationCode, GF]
  • A. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • B. GF
    GF is the vehicle registration code assigned to the district that includes the Austrian town of Deutsch-Wagram.
  • C. GF
    GF is the IATA airline designator code assigned to Gulf Air, the national carrier of Bahrain.
  • D. FG
    FG is the currency symbol used to denote the Guinean franc, the official monetary unit of Guinea.
  • E. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • 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: GF
Triple: [Gifhorn, vehicleRegistrationCode, GF]
Generated description
GF is the vehicle registration code used on license plates for the district of Gifhorn in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GF
Target entity description: GF is the vehicle registration code used on license plates for the district of Gifhorn in Lower Saxony, Germany.
  • A. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • B. GF
    GF is the vehicle registration code assigned to the district that includes the Austrian town of Deutsch-Wagram.
  • C. GF
    GF is the IATA airline designator code assigned to Gulf Air, the national carrier of Bahrain.
  • D. FG
    FG is the currency symbol used to denote the Guinean franc, the official monetary unit of Guinea.
  • E. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b347d4819085b33d0e20834f47 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01803b0288190a86b544892d4b6ed completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01c0f1f8c8190a7988a040a421e34 completed April 3, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69d01c730b848190acbaf60f3a9d62bd completed April 3, 2026, 8 p.m.
Created at: March 30, 2026, 7:14 p.m.