Triple

T5923937
Position Surface form Disambiguated ID Type / Status
Subject OCaml E131758 entity
Predicate hasTool P19952 FINISHED
Object utop
utop is an enhanced interactive toplevel (REPL) for the OCaml programming language, offering features like syntax highlighting, auto-completion, and improved usability over the standard OCaml interpreter.
 E554877 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: utop | Statement: [OCaml, hasTool, utop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: utop
Context triple: [OCaml, hasTool, utop]
  • A. the U
    The U is a common nickname for the University of Utah, a major public research university located in Salt Lake City.
  • B. Utu
    Utu is the Sumerian sun god associated with justice, truth, and divine judgment.
  • C. Utoro
    Utoro is a small coastal settlement on Japan’s Shiretoko Peninsula that serves as a main gateway and service hub for visitors to Shiretoko National Park.
  • D. ute
    Ute is a Numic language of the Uto-Aztecan family traditionally spoken by the Ute people of the western United States.
  • E. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • 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: utop
Triple: [OCaml, hasTool, utop]
Generated description
utop is an enhanced interactive toplevel (REPL) for the OCaml programming language, offering features like syntax highlighting, auto-completion, and improved usability over the standard OCaml interpreter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: utop
Target entity description: utop is an enhanced interactive toplevel (REPL) for the OCaml programming language, offering features like syntax highlighting, auto-completion, and improved usability over the standard OCaml interpreter.
  • A. the U
    The U is a common nickname for the University of Utah, a major public research university located in Salt Lake City.
  • B. Utu
    Utu is the Sumerian sun god associated with justice, truth, and divine judgment.
  • C. Utoro
    Utoro is a small coastal settlement on Japan’s Shiretoko Peninsula that serves as a main gateway and service hub for visitors to Shiretoko National Park.
  • D. ute
    Ute is a Numic language of the Uto-Aztecan family traditionally spoken by the Ute people of the western United States.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03851189c819094524e8b5080545e completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1442eb48190bc67c77764116b17 completed March 23, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_69c0c1c31b108190af16c66f6e8a4c25 completed March 23, 2026, 4:29 a.m.
Created at: March 22, 2026, 4 p.m.