Triple

T1102920
Position Surface form Disambiguated ID Type / Status
Subject Artemisa Province E25420 entity
Predicate hasMunicipality P847 FINISHED
Object Alquízar
Alquízar is a Cuban town and municipality located in Artemisa Province, known for its agricultural production and proximity to Havana.
 E26248 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: Alquízar | Statement: [Artemisa Province, hasMunicipality, Alquízar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alquízar
Context triple: [Artemisa Province, hasMunicipality, Alquízar]
  • A. Alquízar
    Alquízar is a Cuban town and municipality located in the western part of the island within the province of La Habana.
  • B. Celeirós
    Celeirós is a civil parish in the municipality of Sabrosa in northern Portugal, known for its traditional Douro wine production and historic rural landscape.
  • C. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • D. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • E. Madugandí
    Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
  • 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: Alquízar
Triple: [Artemisa Province, hasMunicipality, Alquízar]
Generated description
Alquízar is a Cuban town and municipality located in Artemisa Province, known for its agricultural production and proximity to Havana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alquízar
Target entity description: Alquízar is a Cuban town and municipality located in Artemisa Province, known for its agricultural production and proximity to Havana.
  • A. Alquízar chosen
    Alquízar is a Cuban town and municipality located in the western part of the island within the province of La Habana.
  • B. Celeirós
    Celeirós is a civil parish in the municipality of Sabrosa in northern Portugal, known for its traditional Douro wine production and historic rural landscape.
  • C. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • D. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • E. Madugandí
    Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
  • F. None of above.

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.