Triple

T6425108
Position Surface form Disambiguated ID Type / Status
Subject Częstochowa E128038 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SC
SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
E591544 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: SC | Statement: [Częstochowa, vehicleRegistrationCode, SC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SC
Context triple: [Częstochowa, vehicleRegistrationCode, SC]
  • A. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • B. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • C. SC
    SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
  • D. SCR
    SCR at St Chad’s College refers to the Senior Common Room, the community and social/academic body of the college’s senior members, including fellows and staff.
  • E. SCR
    SCR is the commonly used abbreviation for the Sheffield City Region, a metropolitan area and combined authority in South Yorkshire, England, centered on the city of Sheffield.
  • 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: SC
Triple: [Częstochowa, vehicleRegistrationCode, SC]
Generated description
SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SC
Target entity description: SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
  • A. SC
    SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
  • B. SC
    SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
  • C. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • D. SCR
    SCR at St Chad’s College refers to the Senior Common Room, the community and social/academic body of the college’s senior members, including fellows and staff.
  • E. SCR
    SCR is the commonly used abbreviation for the Sheffield City Region, a metropolitan area and combined authority in South Yorkshire, England, centered on the city of Sheffield.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0691e2e708190a9198cf61f92c6c2 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640df84288190ac4691f5a51bf22c completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c6416d2a54819097f5ce13171b12a2 completed March 27, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_69c641a793788190926699cc73ca1fe8 completed March 27, 2026, 8:36 a.m.
Created at: March 22, 2026, 4:43 p.m.