Triple

T21082137
Position Surface form Disambiguated ID Type / Status
Subject Local DNA Index System E519395 entity
Predicate abbreviation P43 FINISHED
Object LDIS
LDIS is the acronym for the Local DNA Index System, a database used by law enforcement to store and compare DNA profiles at a local level.
 E1465744 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: LDIS | Statement: [Local DNA Index System, abbreviation, LDIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LDIS
Context triple: [Local DNA Index System, abbreviation, LDIS]
  • A. LDI
    LDI is the stock ticker symbol for loanDepot, a U.S.-based nonbank mortgage lender and financial services company.
  • B. IDIS
    IDIS is a U.S. Department of Housing and Urban Development (HUD) information and financial management system used to plan, track, and report on the use of federal community development and housing funds.
  • C. LDRI
    LDRI is the ICAO airport code for Rijeka Airport, a commercial airport serving the city of Rijeka and the Kvarner region in Croatia.
  • D. LIDS
    LIDS is a research laboratory at MIT focused on advancing the theory and application of information and decision systems, including areas like control, communications, and machine learning.
  • E. DLI
    DLI is the station code for Old Delhi Railway Station, a major and historic rail hub in Delhi, India.
  • 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: LDIS
Triple: [Local DNA Index System, abbreviation, LDIS]
Generated description
LDIS is the acronym for the Local DNA Index System, a database used by law enforcement to store and compare DNA profiles at a local level.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LDIS
Target entity description: LDIS is the acronym for the Local DNA Index System, a database used by law enforcement to store and compare DNA profiles at a local level.
  • A. LDI
    LDI is the stock ticker symbol for loanDepot, a U.S.-based nonbank mortgage lender and financial services company.
  • B. IDIS
    IDIS is a U.S. Department of Housing and Urban Development (HUD) information and financial management system used to plan, track, and report on the use of federal community development and housing funds.
  • C. LDRI
    LDRI is the ICAO airport code for Rijeka Airport, a commercial airport serving the city of Rijeka and the Kvarner region in Croatia.
  • D. LIDS
    LIDS is a research laboratory at MIT focused on advancing the theory and application of information and decision systems, including areas like control, communications, and machine learning.
  • E. DLI
    DLI is the station code for Old Delhi Railway Station, a major and historic rail hub in Delhi, India.
  • 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702dcbf9c81908e4cc016eb21bbbc completed April 21, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a5166988190a4f834fc3832f200 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095b0b1494819087989aa5a0d12264 completed May 17, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_6a095b71e4c08190a41566557503b9a8 completed May 17, 2026, 6:08 a.m.
Created at: April 16, 2026, 2:49 p.m.