Triple

T7036133
Position Surface form Disambiguated ID Type / Status
Subject Biobío Province E163388 entity
Predicate containsCity P294 FINISHED
Object San Rosendo
San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
 E637267 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: San Rosendo | Statement: [Biobío Province, containsCity, San Rosendo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Rosendo
Context triple: [Biobío Province, containsCity, San Rosendo]
  • A. San Cosme
    San Cosme is a Mexico City Metro station on Line 2 that serves the San Rafael neighborhood near the historic center of the city.
  • B. San Martín de Loba
    San Martín de Loba is a municipality and town in northern Colombia known for its rural character and location within the Bolívar Department.
  • C. San Ildefonso
    San Ildefonso is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its farming-based economy and growing residential communities.
  • D. San Ildefonso
    San Ildefonso is a historic Spanish town in the province of Segovia, best known for the Royal Palace of La Granja, a former summer residence of the Spanish monarchy.
  • E. Villanueva
    Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
  • 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: San Rosendo
Triple: [Biobío Province, containsCity, San Rosendo]
Generated description
San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Rosendo
Target entity description: San Rosendo is a small Chilean city in the Biobío Region, historically known as an important railway junction and river port.
  • A. San Cosme
    San Cosme is a Mexico City Metro station on Line 2 that serves the San Rafael neighborhood near the historic center of the city.
  • B. San Martín de Loba
    San Martín de Loba is a municipality and town in northern Colombia known for its rural character and location within the Bolívar Department.
  • C. San Ildefonso
    San Ildefonso is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its farming-based economy and growing residential communities.
  • D. San Ildefonso
    San Ildefonso is a historic Spanish town in the province of Segovia, best known for the Royal Palace of La Granja, a former summer residence of the Spanish monarchy.
  • E. Villanueva
    Villanueva is a municipality and town located in the Bolívar Department of northern Colombia.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e220508c8190b8950cf38280b8c2 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775a211f88190afe5ed466abcac7a completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c779c064548190bc17a399723f85e7 completed March 28, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69c77a79e76c8190a42fe57ffc1dc23c completed March 28, 2026, 6:51 a.m.
Created at: March 27, 2026, 2:36 p.m.