Triple

T1102894
Position Surface form Disambiguated ID Type / Status
Subject Artemisa Province E25420 entity
Predicate capital P234 FINISHED
Object Artemisa
Artemisa is a Cuban city that serves as the administrative and economic center of Artemisa Province.
 E127196 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: Artemisa | Statement: [Artemisa Province, capital, Artemisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Artemisa
Context triple: [Artemisa Province, capital, Artemisa]
  • A. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • B. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • C. Hesperia
    Hesperia is one of the Hesperides, the nymphs of Greek mythology associated with tending a blissful garden at the western edge of the world.
  • D. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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: Artemisa
Triple: [Artemisa Province, capital, Artemisa]
Generated description
Artemisa is a Cuban city that serves as the administrative and economic center of Artemisa Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Artemisa
Target entity description: Artemisa is a Cuban city that serves as the administrative and economic center of Artemisa Province.
  • A. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • B. Luna
    Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
  • C. Hesperia
    Hesperia is one of the Hesperides, the nymphs of Greek mythology associated with tending a blissful garden at the western edge of the world.
  • D. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c47dbf88190a1898d7bda32ecb2 completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac4feb86c88190abaed60e0782fec6 completed March 7, 2026, 4:18 p.m.
NED2 Entity disambiguation (via description) batch_69ac509b6fe48190973bbfabdc976541 completed March 7, 2026, 4:21 p.m.
Created at: March 1, 2026, 7:43 p.m.