Triple

T12543125
Position Surface form Disambiguated ID Type / Status
Subject Shirak Province E299892 entity
Predicate containsCity P294 FINISHED
Object Artik
Artik is a small industrial town in northwestern Armenia known for its tufa stone quarries and historic churches.
 E990147 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: Artik | Statement: [Shirak Province, containsCity, Artik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Artik
Context triple: [Shirak Province, containsCity, Artik]
  • A. Arvit
    Arvit is the Jewish evening prayer service recited daily after nightfall.
  • B. Arwi
    Arwi is an Arabic-influenced written form of the Tamil language historically used by Sri Lankan Moors, especially for religious and literary purposes.
  • C. Arthog
    Arthog is a small village in Gwynedd, Wales, situated near the Mawddach Estuary and known for its scenic coastal and mountain surroundings.
  • D. Artěl
    Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
  • E. Arth
    Arth is a Swiss lakeside municipality in the canton of Schwyz, situated on the shores of Lake Zug and known for its scenic Alpine surroundings.
  • 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: Artik
Triple: [Shirak Province, containsCity, Artik]
Generated description
Artik is a small industrial town in northwestern Armenia known for its tufa stone quarries and historic churches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Artik
Target entity description: Artik is a small industrial town in northwestern Armenia known for its tufa stone quarries and historic churches.
  • A. Arvit
    Arvit is the Jewish evening prayer service recited daily after nightfall.
  • B. Arwi
    Arwi is an Arabic-influenced written form of the Tamil language historically used by Sri Lankan Moors, especially for religious and literary purposes.
  • C. Arthog
    Arthog is a small village in Gwynedd, Wales, situated near the Mawddach Estuary and known for its scenic coastal and mountain surroundings.
  • D. Artěl
    Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
  • E. Arth
    Arth is a Swiss lakeside municipality in the canton of Schwyz, situated on the shores of Lake Zug and known for its scenic Alpine surroundings.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547d6df4819080db8415d386ed38 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557e6d4c81909ed54a039e92a160 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566f40c08190baec227fb660c948 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.