Triple

T1387964
Position Surface form Disambiguated ID Type / Status
Subject Federal Insurance Office E29888 entity
Predicate abbreviation P43 FINISHED
Object FIO
FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
E159782 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: FIO | Statement: [Federal Insurance Office, abbreviation, FIO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FIO
Context triple: [Federal Insurance Office, abbreviation, FIO]
  • A. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • B.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. Fittja
    Fittja is a suburban district in the southern part of the Stockholm metropolitan area in Sweden, known for its diverse population and large-scale postwar housing.
  • D. F.O.D.
    F.O.D. is a fast-paced punk rock track by Green Day, featured as one of the closing songs on their breakthrough 1994 album *Dookie*.
  • E. FIL
    FIL is the Guadalajara International Book Fair, one of the largest and most important literary and publishing events in the Spanish-speaking world.
  • 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: FIO
Triple: [Federal Insurance Office, abbreviation, FIO]
Generated description
FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FIO
Target entity description: FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
  • A. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • B.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. Fittja
    Fittja is a suburban district in the southern part of the Stockholm metropolitan area in Sweden, known for its diverse population and large-scale postwar housing.
  • D. F.O.D.
    F.O.D. is a fast-paced punk rock track by Green Day, featured as one of the closing songs on their breakthrough 1994 album *Dookie*.
  • E. FIL
    FIL is the Guadalajara International Book Fair, one of the largest and most important literary and publishing events in the Spanish-speaking world.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c35ad578819090abf96222112bda completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde2202208190894c3633c6a370d8 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acded052a88190945cf7a2af019c68 completed March 8, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69acdf41eb5c819088f2203f33995ccb completed March 8, 2026, 2:30 a.m.
Created at: March 1, 2026, 7:59 p.m.