Triple

T1542617
Position Surface form Disambiguated ID Type / Status
Subject TreasuryDirect E32903 entity
Predicate offersProduct P10882 FINISHED
Object FRNs
FRNs are U.S. Treasury floating rate notes whose interest payments adjust periodically based on short-term interest rate benchmarks.
 E176252 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: FRNs | Statement: [TreasuryDirect, offersProduct, FRNs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FRNs
Context triple: [TreasuryDirect, offersProduct, FRNs]
  • A. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • B. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • C. FNS
    FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • 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: FRNs
Triple: [TreasuryDirect, offersProduct, FRNs]
Generated description
FRNs are U.S. Treasury floating rate notes whose interest payments adjust periodically based on short-term interest rate benchmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FRNs
Target entity description: FRNs are U.S. Treasury floating rate notes whose interest payments adjust periodically based on short-term interest rate benchmarks.
  • A. FRS
    FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
  • B. FRD
    FRD is the station code for a railway station named after U.S. President Franklin D. Roosevelt.
  • C. FNS
    FNS is the U.S. Department of Agriculture agency that administers federal food assistance and nutrition programs such as SNAP and school meals.
  • D. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • E. FR3
    FR3 was a former French public television channel and network that later became part of France Télévisions.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9083f982c8190a4c740a95c8cfbff completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad309baebc81908240a0370bad9935 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad3117b49881908916e7137f8b655c completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad3179b0148190b69b16b5d2051ece completed March 8, 2026, 8:21 a.m.
Created at: March 4, 2026, 7:26 p.m.