Triple

T4856506
Position Surface form Disambiguated ID Type / Status
Subject Gospić E108548 entity
Predicate vehicleRegistrationCode 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, vehicleRegistrationCode, GS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GS
Context triple: [Gospić, vehicleRegistrationCode, GS]
  • A. GS
    GS is the commonly used abbreviation for Google Scholar, a freely accessible web search engine that indexes scholarly literature across many disciplines and formats.
  • 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 New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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, vehicleRegistrationCode, 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
    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.
  • 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 New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • D. GS
    GS is the commonly used abbreviation for Google Scholar, a freely accessible web search engine that indexes scholarly literature across many disciplines and formats.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3df75c8190830e2c927cc5a4f8 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cec638481909a3345f348116bbc completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5fd0ec648190842438a3235481e5 completed March 21, 2026, 9:07 a.m.
NED2 Entity disambiguation (via description) batch_69be606f82e88190b2b1501ec83b33af completed March 21, 2026, 9:10 a.m.
Created at: March 20, 2026, 1:26 p.m.