Triple

T10939896
Position Surface form Disambiguated ID Type / Status
Subject Gotha E258439 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object GTH
GTH is the vehicle registration code used for the German town and district of Gotha in the state of Thuringia.
 E895285 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: GTH | Statement: [Gotha, hasVehicleRegistrationCode, GTH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GTH
Context triple: [Gotha, hasVehicleRegistrationCode, GTH]
  • A. GTHO
    GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • B. GTH Outlook
    GTH Outlook is a climate and weather forecasting product that provides weekly assessments of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • C. GHT
    GHT is the IATA airport code for Ghat Airport, which serves the town of Ghat in southwestern Libya.
  • D. GCH
    GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
  • E. GOSH
    GOSH is a leading specialist children’s hospital in London renowned for its pediatric care, research, and medical innovation.
  • 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: GTH
Triple: [Gotha, hasVehicleRegistrationCode, GTH]
Generated description
GTH is the vehicle registration code used for the German town and district of Gotha in the state of Thuringia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GTH
Target entity description: GTH is the vehicle registration code used for the German town and district of Gotha in the state of Thuringia.
  • A. GTHO
    GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • B. GTH Outlook
    GTH Outlook is a climate and weather forecasting product that provides weekly assessments of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • C. GHT
    GHT is the IATA airport code for Ghat Airport, which serves the town of Ghat in southwestern Libya.
  • D. GCH
    GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
  • E. GOSH
    GOSH is a leading specialist children’s hospital in London renowned for its pediatric care, research, and medical innovation.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c1389881909341170984211810 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c0e940081908c84ea4cf3b877fc completed April 17, 2026, 1:56 p.m.
NEDg Description generation batch_69e24541cbb481908f14a9cb2787c118 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f48dc88190af9491e8cdc4a532 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.