Triple

T19780641
Position Surface form Disambiguated ID Type / Status
Subject Gospić E475120 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object GS
GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
 E475120 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: GS | Statement: [Gospić, hasVehicleRegistrationCode, GS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GS
Context triple: [Gospić, hasVehicleRegistrationCode, GS]
  • A. GS
    GS is the common abbreviation for United Global Services, United Airlines’ invitation-only elite frequent flyer status for its most valuable customers.
  • B. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • C. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • D. GS
    GS is the commonly used abbreviation for the School of General Studies, a division of a university that typically offers flexible, interdisciplinary undergraduate programs for nontraditional or returning students.
  • E. GS
    GS is the abbreviated name for the General Schedule, the primary pay scale for most white-collar federal employees in the United States government.
  • 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: GS
Triple: [Gospić, hasVehicleRegistrationCode, GS]
Generated description
GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GS
Target entity description: GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • A. GS chosen
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • B. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • C. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • D. GS
    GS is a luxury sedan nameplate used by Lexus, known for its blend of performance, comfort, and premium features.
  • E. GS
    GS is the commonly used abbreviation for the School of General Studies, a division of a university that typically offers flexible, interdisciplinary undergraduate programs for nontraditional or returning students.
  • F. None of above.

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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd7ac0b48190bc331db6689f7b54 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:49 p.m.