Triple

T16505311
Position Surface form Disambiguated ID Type / Status
Subject Bohemian FC E400910 entity
Predicate hasAbbreviation P43 FINISHED
Object BOH
BOH is the common abbreviation for Bohemian Football Club, a historic professional soccer team based in Dublin, Ireland.
E1217525 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: BOH | Statement: [Bohemian FC, hasAbbreviation, BOH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOH
Context triple: [Bohemian FC, hasAbbreviation, BOH]
  • A. BOH
    BOH is the three-letter IATA airport code for Bournemouth Airport in southern England.
  • B. BOG
    BOG is the three-letter National Rail station code for Bognor Regis railway station in West Sussex, England.
  • C. BOG
    BOG is the vehicle registration code used for motor vehicles registered in the Capital District of Bogotá, Colombia.
  • D. BOG
    BOG is the commonly used acronym for the Florida Board of Governors, the governing body overseeing the State University System of Florida.
  • E. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • 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: BOH
Triple: [Bohemian FC, hasAbbreviation, BOH]
Generated description
BOH is the common abbreviation for Bohemian Football Club, a historic professional soccer team based in Dublin, Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BOH
Target entity description: BOH is the common abbreviation for Bohemian Football Club, a historic professional soccer team based in Dublin, Ireland.
  • A. BOH
    BOH is the three-letter IATA airport code for Bournemouth Airport in southern England.
  • B. BOG
    BOG is the three-letter National Rail station code for Bognor Regis railway station in West Sussex, England.
  • C. BOG
    BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
  • D. BOG
    BOG is the vehicle registration code used for motor vehicles registered in the Capital District of Bogotá, Colombia.
  • E. BOG
    BOG is the commonly used acronym for the Florida Board of Governors, the governing body overseeing the State University System of Florida.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e51ce1c81909548298f703a7ffa completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058305e308190a22cbd03daec53aa completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a005c0840608190bf3fa7a0501e9e8a completed May 10, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a005c9d1a20819091a14490577d51ba completed May 10, 2026, 10:23 a.m.
Created at: April 10, 2026, 5:14 a.m.