Triple

T16884416
Position Surface form Disambiguated ID Type / Status
Subject Chontales Department E421501 entity
Predicate hasMunicipality P847 FINISHED
Object Santo Tomás
Santo Tomás is a municipality in Nicaragua’s Chontales Department, known for its agricultural activities and small-town regional center role.
E1238977 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: Santo Tomás | Statement: [Chontales Department, hasMunicipality, Santo Tomás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Tomás
Context triple: [Chontales Department, hasMunicipality, Santo Tomás]
  • A. Santo Tomás
    Santo Tomás is a town in the Cusco Region of Peru that serves as the administrative and commercial center of Chumbivilcas Province.
  • B. Santo Tomás
    Santo Tomás is a small settlement within Cuba’s Ciénaga de Zapata region, known for its proximity to extensive wetlands and rich biodiversity.
  • C. Santo Tomás
    Santo Tomás is a municipality in El Salvador known for its rural character and proximity to the capital, San Salvador.
  • D. Santo Tomas
    Santo Tomas is a barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
  • E. Santo Tomas
    Santo Tomas is a landlocked agricultural municipality in the province of Davao del Norte on the island of Mindanao in the Philippines.
  • 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: Santo Tomás
Triple: [Chontales Department, hasMunicipality, Santo Tomás]
Generated description
Santo Tomás is a municipality in Nicaragua’s Chontales Department, known for its agricultural activities and small-town regional center role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Santo Tomás
Target entity description: Santo Tomás is a municipality in Nicaragua’s Chontales Department, known for its agricultural activities and small-town regional center role.
  • A. Santo Tomás
    Santo Tomás is a municipality in El Salvador known for its rural character and proximity to the capital, San Salvador.
  • B. Santo Tomás
    Santo Tomás is a town in the Cusco Region of Peru that serves as the administrative and commercial center of Chumbivilcas Province.
  • C. Santo Tomás
    Santo Tomás is a small settlement within Cuba’s Ciénaga de Zapata region, known for its proximity to extensive wetlands and rich biodiversity.
  • D. Santo Tomas
    Santo Tomas is a barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
  • E. Santo Tomas
    Santo Tomas is a landlocked agricultural municipality in the province of Davao del Norte on the island of Mindanao in the Philippines.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbf0cec819084216807601afad1 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2baece88190ad9821219dff7e27 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c3719c88819080279147f9bc415e completed May 10, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_6a00c4850dec819085ae8b51c94c11e7 completed May 10, 2026, 5:46 p.m.
Created at: April 10, 2026, 5:29 a.m.