Triple

T18204776
Position Surface form Disambiguated ID Type / Status
Subject Falcon E435875 entity
Predicate developer P73 FINISHED
Object TII
TII (Technology Innovation Institute) is a research and development organization based in Abu Dhabi known for creating the open-source Falcon large language models.
E1312457 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: TII | Statement: [Falcon, developer, TII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TII
Context triple: [Falcon, developer, TII]
  • A. TIO
    TIO is the abbreviated name for TMT International Observatory LLC, the organization responsible for developing and operating the Thirty Meter Telescope project.
  • B. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • C. TI
    TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
  • D. TI
    TI is a popular hotel and casino on the Las Vegas Strip known for its pirate-themed past and vibrant resort atmosphere.
  • E. TI
    TI is the commonly used abbreviation for Newfoundland and Labrador’s provincial Department of Transportation and Infrastructure, which oversees the planning, construction, and maintenance of public transportation networks and related infrastructure.
  • 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: TII
Triple: [Falcon, developer, TII]
Generated description
TII (Technology Innovation Institute) is a research and development organization based in Abu Dhabi known for creating the open-source Falcon large language models.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TII
Target entity description: TII (Technology Innovation Institute) is a research and development organization based in Abu Dhabi known for creating the open-source Falcon large language models.
  • A. TIO
    TIO is the abbreviated name for TMT International Observatory LLC, the organization responsible for developing and operating the Thirty Meter Telescope project.
  • B. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • C. TI
    TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
  • D. TI
    TI is a popular hotel and casino on the Las Vegas Strip known for its pirate-themed past and vibrant resort atmosphere.
  • E. TI
    TI is the commonly used abbreviation for Newfoundland and Labrador’s provincial Department of Transportation and Infrastructure, which oversees the planning, construction, and maintenance of public transportation networks and related infrastructure.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f0e52108190913cc5c667619d89 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039fdd9c4c819083b450657d0ece43 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0d6de8c8190b1f94c7de0856143 completed May 12, 2026, 9:51 p.m.
Created at: April 10, 2026, 10:32 a.m.