Triple

T192115
Position Surface form Disambiguated ID Type / Status
Subject JavaScript E3742 entity
Predicate influenced P9 FINISHED
Object Elm
Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
 E24476 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: Elm | Statement: [JavaScript, influenced, Elm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elm
Context triple: [JavaScript, influenced, Elm]
  • A. Malus
    Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
  • B. Celtis
    Celtis is a genus of deciduous trees commonly known as hackberries, valued for their hardiness and small, berry-like fruits.
  • C. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • D. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • E. Morus
    Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
  • 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: Elm
Triple: [JavaScript, influenced, Elm]
Generated description
Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elm
Target entity description: Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
  • A. Malus
    Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
  • B. Celtis
    Celtis is a genus of deciduous trees commonly known as hackberries, valued for their hardiness and small, berry-like fruits.
  • C. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • D. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • E. Morus
    Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a259669ba08190a5be1d2e10e70b27 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a30cc6bfdc819091478e5102a3d64f completed Feb. 28, 2026, 3:41 p.m.
NEDg Description generation batch_69a30d5e9d788190b69c964001c8b7ce completed Feb. 28, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69a30dc3fe5081909b90a55d8e0451d6 completed Feb. 28, 2026, 3:46 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.