Triple

T4020731
Position Surface form Disambiguated ID Type / Status
Subject International DOI Foundation E91272 entity
Predicate hasMember P10 FINISHED
Object TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
E406999 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: TIB | Statement: [International DOI Foundation, hasMember, TIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TIB
Context triple: [International DOI Foundation, hasMember, TIB]
  • A. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • B. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • C. Tiv
    The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
  • D. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • E. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • 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: TIB
Triple: [International DOI Foundation, hasMember, TIB]
Generated description
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TIB
Target entity description: TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
  • A. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • B. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • C. Tiv
    The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
  • D. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • E. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7fd474819097766194ca8d165d completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54dd51ef48190974bb190d32016bc completed March 14, 2026, noon
NED2 Entity disambiguation (via description) batch_69b54e498320819088fea96b83564c69 completed March 14, 2026, 12:02 p.m.
Created at: March 9, 2026, 3:35 p.m.