Triple

T1751718
Position Surface form Disambiguated ID Type / Status
Subject Santa Cruz de la Sierra E38456 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SCZ
SCZ is the vehicle registration code for Santa Cruz de la Sierra, a major city in eastern Bolivia.
 E196986 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: SCZ | Statement: [Santa Cruz de la Sierra, vehicleRegistrationCode, SCZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCZ
Context triple: [Santa Cruz de la Sierra, vehicleRegistrationCode, SCZ]
  • A. Paranoimia
    Paranoimia is a 1986 electronic pop track by the avant-garde group Art of Noise, best known for its innovative production and collaboration with the computer-generated character Max Headroom.
  • B. ASD
    ASD is the official railway station code used to identify Amsterdam Centraal station in the Netherlands.
  • C. ASD
    ASD is the Australian Signals Directorate, Australia’s national authority for signals intelligence, cyber security, and offensive cyber operations.
  • D. DSM
    DSM is the IATA airport code for Des Moines International Airport, the primary commercial airport serving Des Moines, Iowa.
  • E. DSM
    The DSM is a high-level United States Army military decoration awarded for exceptionally meritorious service to the government in a duty of great responsibility.
  • 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: SCZ
Triple: [Santa Cruz de la Sierra, vehicleRegistrationCode, SCZ]
Generated description
SCZ is the vehicle registration code for Santa Cruz de la Sierra, a major city in eastern Bolivia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCZ
Target entity description: SCZ is the vehicle registration code for Santa Cruz de la Sierra, a major city in eastern Bolivia.
  • A. Paranoimia
    Paranoimia is a 1986 electronic pop track by the avant-garde group Art of Noise, best known for its innovative production and collaboration with the computer-generated character Max Headroom.
  • B. ASD
    ASD is the official railway station code used to identify Amsterdam Centraal station in the Netherlands.
  • C. ASD
    ASD is the Australian Signals Directorate, Australia’s national authority for signals intelligence, cyber security, and offensive cyber operations.
  • D. DSM
    DSM is the IATA airport code for Des Moines International Airport, the primary commercial airport serving Des Moines, Iowa.
  • E. DSM
    The DSM is a high-level United States Army military decoration awarded for exceptionally meritorious service to the government in a duty of great responsibility.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6411cc788190a052b029dbffa7ca completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e40cb88190953c639ee2464a54 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2fb9481909d9ed587921ca6b6 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada4e28830819082ed7facee14587f completed March 8, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:31 p.m.