Triple

T1427875
Position Surface form Disambiguated ID Type / Status
Subject Celle E30373 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object CE
CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
 E164379 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: CE | Statement: [Celle, vehicleRegistrationCode, CE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CE
Context triple: [Celle, vehicleRegistrationCode, CE]
  • A. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • B. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • C. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • D. E
    E is the letter designation for the E branch of Boston’s MBTA Green Line light rail service.
  • E. E
    The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
  • 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: CE
Triple: [Celle, vehicleRegistrationCode, CE]
Generated description
CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CE
Target entity description: CE is the vehicle registration code used for the district of Celle in Lower Saxony, Germany.
  • A. CE
    CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
  • B. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • C. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • D. E
    E is the letter designation for the E branch of Boston’s MBTA Green Line light rail service.
  • E. E
    The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bfc79481908d370ec839ddbd9f completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016708bc8190af01b10a0f0d6942 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad023335288190b7b1137f42e0c128 completed March 8, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69ad02aa822881908c9f947875c96253 completed March 8, 2026, 5:01 a.m.
Created at: March 1, 2026, 8 p.m.