Triple

T8608683
Position Surface form Disambiguated ID Type / Status
Subject GTK E203866 entity
Predicate supportsLanguageBindings P81836 FINISHED
Object Vala
Vala is a high-level programming language designed to bring modern language features to the GNOME/GTK ecosystem while compiling down to efficient C code.
 E745747 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: Vala | Statement: [GTK, supportsLanguageBindings, Vala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vala
Context triple: [GTK, supportsLanguageBindings, Vala]
  • A. Vatia
    Vatia is a coastal village in American Samoa known for its scenic bay, traditional Samoan culture, and proximity to the National Park of American Samoa.
  • B. Vaala
    Vaala is a municipality in northern Finland known for its lakeside landscapes and location along the Oulujoki river.
  • C. Govuro
    Govuro is a small town and district in southeastern Mozambique known for its rural communities and coastal proximity within Inhambane Province.
  • D. Langa
    Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
  • E. Vuvalini
    The Vuvalini are a matriarchal tribe of seasoned warrior women and survivalists in the Mad Max: Fury Road universe, known for their resilience and combat prowess in the post-apocalyptic wasteland.
  • 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: Vala
Triple: [GTK, supportsLanguageBindings, Vala]
Generated description
Vala is a high-level programming language designed to bring modern language features to the GNOME/GTK ecosystem while compiling down to efficient C code.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vala
Target entity description: Vala is a high-level programming language designed to bring modern language features to the GNOME/GTK ecosystem while compiling down to efficient C code.
  • A. Vatia
    Vatia is a coastal village in American Samoa known for its scenic bay, traditional Samoan culture, and proximity to the National Park of American Samoa.
  • B. Vaala
    Vaala is a municipality in northern Finland known for its lakeside landscapes and location along the Oulujoki river.
  • C. Govuro
    Govuro is a small town and district in southeastern Mozambique known for its rural communities and coastal proximity within Inhambane Province.
  • D. Langa
    Langa is a surname and place name found in various cultures, notably in Southern Africa and parts of Europe.
  • E. Vuvalini
    The Vuvalini are a matriarchal tribe of seasoned warrior women and survivalists in the Mad Max: Fury Road universe, known for their resilience and combat prowess in the post-apocalyptic wasteland.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc5c2d852081908901f5d2a47035b0 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea90dd93081908140ac0ce23be820 completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69ceaa2c34308190a3bc7717012fea9d completed April 2, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69ceaae76d188190932826c9fd9f7f5f completed April 2, 2026, 5:44 p.m.
Created at: March 30, 2026, 6:25 p.m.