Triple

T3077379
Position Surface form Disambiguated ID Type / Status
Subject Homeland Security Investigations E64169 entity
Predicate acronym P43 FINISHED
Object HSI E325726 NE FINISHED

How this triple was built (2 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: HSI | Statement: [Homeland Security Investigations, acronym, HSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HSI
Context triple: [Homeland Security Investigations, acronym, HSI]
  • A. HSI chosen
    HSI is the principal investigative arm of the U.S. Department of Homeland Security, responsible for enforcing federal laws related to border security, customs, immigration, and transnational crime.
  • B. DSI
    DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
  • C. IHS
    IHS is a U.S. federal agency within the Department of Health and Human Services that provides health services to American Indians and Alaska Natives.
  • D. HDI
    The HDI is a composite statistic used by the United Nations to measure and compare countries’ overall human development based on health, education, and standard of living.
  • E. HFS
    HFS (Hierarchical File System) is a classic file system developed by Apple for early Macintosh computers, organizing data in a tree-structured hierarchy with support for resource forks and metadata.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a6f6148190ae5cd6e45eda9006 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2035c404881908635c8514c8c1399 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:02 p.m.