Triple

T5241713
Position Surface form Disambiguated ID Type / Status
Subject Malleco Province E118357 entity
Predicate contains P35 FINISHED
Object Renaico
Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
 E505053 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: Renaico | Statement: [Malleco Province, contains, Renaico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Renaico
Context triple: [Malleco Province, contains, Renaico]
  • A. Ferrera
    Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
  • B. Franconero
    Franconero is the birth surname of American pop singer Connie Francis, one of the most successful female vocalists of the late 1950s and early 1960s.
  • C. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • D. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • E. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • 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: Renaico
Triple: [Malleco Province, contains, Renaico]
Generated description
Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Renaico
Target entity description: Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
  • A. Ferrera
    Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
  • B. Franconero
    Franconero is the birth surname of American pop singer Connie Francis, one of the most successful female vocalists of the late 1950s and early 1960s.
  • C. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • D. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • E. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2c50508190b84bab216c30cbfe completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef82b42308190b9e3e0e113d8093b completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8bfcd1c819090b81f8ebb097c5b completed March 21, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69bef95e7ce48190a1ec2fc27ce37d00 completed March 21, 2026, 8:02 p.m.
Created at: March 20, 2026, 1:49 p.m.