Triple

T9068468
Position Surface form Disambiguated ID Type / Status
Subject Global Open Knowledgebase (GOKb) collaboration E217302 entity
Predicate abbreviation P43 FINISHED
Object GOKb
GOKb is an open, community-maintained knowledgebase that provides structured metadata about electronic resources to support library collection management and discovery services.
E776044 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: GOKb | Statement: [Global Open Knowledgebase (GOKb) collaboration, abbreviation, GOKb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOKb
Context triple: [Global Open Knowledgebase (GOKb) collaboration, abbreviation, GOKb]
  • A. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • B. OKBK
    OKBK is the ICAO airport code for Kuwait International Airport, the main international gateway to Kuwait.
  • C. GBO
    GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
  • D. KBGM
    KBGM is the ICAO airport code for Greater Binghamton Airport, a public airport serving the Binghamton, New York area.
  • E. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • 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: GOKb
Triple: [Global Open Knowledgebase (GOKb) collaboration, abbreviation, GOKb]
Generated description
GOKb is an open, community-maintained knowledgebase that provides structured metadata about electronic resources to support library collection management and discovery services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GOKb
Target entity description: GOKb is an open, community-maintained knowledgebase that provides structured metadata about electronic resources to support library collection management and discovery services.
  • A. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • B. OKBK
    OKBK is the ICAO airport code for Kuwait International Airport, the main international gateway to Kuwait.
  • C. GBO
    GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
  • D. KBGM
    KBGM is the ICAO airport code for Greater Binghamton Airport, a public airport serving the Binghamton, New York area.
  • E. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ba250819085fa49e0059d06c1 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffddc5c288190b18c2ae1aece4ed6 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d000d2c5688190b014ce33c04ff875 completed April 3, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69d001a1056c819083793547dbd4b1ee completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:11 p.m.