Triple

T5322118
Position Surface form Disambiguated ID Type / Status
Subject loanDepot E121697 entity
Predicate tickerSymbol P1447 FINISHED
Object LDI
LDI is the stock ticker symbol for loanDepot, a U.S.-based nonbank mortgage lender and financial services company.
 E512241 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: LDI | Statement: [loanDepot, tickerSymbol, LDI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LDI
Context triple: [loanDepot, tickerSymbol, LDI]
  • A. LDF
    LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
  • B. LYD
    LYD is the ISO 4217 currency code for the Libyan dinar, the official currency of Libya.
  • C. LYD
    LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
  • D. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • E. LRD
    LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
  • 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: LDI
Triple: [loanDepot, tickerSymbol, LDI]
Generated description
LDI is the stock ticker symbol for loanDepot, a U.S.-based nonbank mortgage lender and financial services company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LDI
Target entity description: LDI is the stock ticker symbol for loanDepot, a U.S.-based nonbank mortgage lender and financial services company.
  • A. LDF
    LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
  • B. LYD
    LYD is the ISO 4217 currency code for the Libyan dinar, the official currency of Libya.
  • C. LYD
    LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
  • D. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • E. LRD
    LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8577ba3881909a28cbf744648256 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18a4dff48190bce18f0106c7a8e7 completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf1a493ddc8190ac5d1889b9d64ec2 completed March 21, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69bf1aa2fbec819088cd8be8505e4697 completed March 21, 2026, 10:24 p.m.
Created at: March 20, 2026, 1:59 p.m.