Triple

T19949779
Position Surface form Disambiguated ID Type / Status
Subject Free National Movement E479522 entity
Predicate hasAbbreviation P43 FINISHED
Object FNM
FNM is the commonly used abbreviation for the Free National Movement, a major political party in the Bahamas.
 E333112 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: FNM | Statement: [Free National Movement, hasAbbreviation, FNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FNM
Context triple: [Free National Movement, hasAbbreviation, FNM]
  • A. FNM
    FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
  • B. NFNM
    NFNM is the ICAO airport code assigned to Matei Airport in Fiji.
  • C. FNL
    FNL is the IATA airport code for Fort Collins-Loveland Municipal Airport serving the Fort Collins and Loveland area in Colorado, USA.
  • D. FNI
    FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
  • E. HFN
    HFN is the three-letter National Rail station code assigned to Hertford North railway station in Hertfordshire, England.
  • 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: FNM
Triple: [Free National Movement, hasAbbreviation, FNM]
Generated description
FNM is the commonly used abbreviation for the Free National Movement, a major political party in the Bahamas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FNM
Target entity description: FNM is the commonly used abbreviation for the Free National Movement, a major political party in the Bahamas.
  • A. FNM chosen
    FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
  • B. NFNM
    NFNM is the ICAO airport code assigned to Matei Airport in Fiji.
  • C. FNL
    FNL is the IATA airport code for Fort Collins-Loveland Municipal Airport serving the Fort Collins and Loveland area in Colorado, USA.
  • D. FNI
    FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
  • E. HFN
    HFN is the three-letter National Rail station code assigned to Hertford North railway station in Hertfordshire, England.
  • F. None of above.

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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6a93548190875af2176e6901a7 completed April 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6f4cc5881908c2cfea5fdfa1357 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f83250fc8190bdcf86f1981e47f6 completed May 16, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a07f8c025488190bdc06977f07e6ddc completed May 16, 2026, 4:55 a.m.
Created at: April 10, 2026, 1:54 p.m.