Triple

T1928819
Position Surface form Disambiguated ID Type / Status
Subject Office of Field Operations E40892 entity
Predicate usesProgram P6928 FINISHED
Object SENTRI
SENTRI is a U.S. Customs and Border Protection trusted traveler program that provides expedited processing for pre-approved, low-risk travelers entering the United States at land border crossings.
 E215349 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: SENTRI | Statement: [Office of Field Operations, usesProgram, SENTRI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SENTRI
Context triple: [Office of Field Operations, usesProgram, SENTRI]
  • A. Centrs
    Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
  • B. Sinte
    Sinte is an alternative self-designation used by the Sinti, a subgroup of the Romani people primarily found in Central Europe.
  • C. SDC
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • D. Serber
    Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
  • E. U-Sector
    U-Sector is an independent supporters’ group known for its passionate backing of Major League Soccer club Toronto FC.
  • 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: SENTRI
Triple: [Office of Field Operations, usesProgram, SENTRI]
Generated description
SENTRI is a U.S. Customs and Border Protection trusted traveler program that provides expedited processing for pre-approved, low-risk travelers entering the United States at land border crossings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SENTRI
Target entity description: SENTRI is a U.S. Customs and Border Protection trusted traveler program that provides expedited processing for pre-approved, low-risk travelers entering the United States at land border crossings.
  • A. Centrs
    Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
  • B. Sinte
    Sinte is an alternative self-designation used by the Sinti, a subgroup of the Romani people primarily found in Central Europe.
  • C. SDC
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • D. Serber
    Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
  • E. U-Sector
    U-Sector is an independent supporters’ group known for its passionate backing of Major League Soccer club Toronto FC.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb26593308190835863b760449d04 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ed31448190a2e5d088ab5886b8 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf48412b08190b6ad0f3abf42a081 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf4f7c908819089ccdc881af10da9 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.