Triple

T1263830
Position Surface form Disambiguated ID Type / Status
Subject Santiago Metropolitan Region E12558 entity
Predicate contains P35 FINISHED
Object San Bernardo
San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
 E145222 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 Bernardo | Statement: [Santiago Metropolitan Region, contains, San Bernardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Bernardo
Context triple: [Santiago Metropolitan Region, contains, San Bernardo]
  • A. Canino
    Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
  • B. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • C. Carneros
    Carneros is a cool-climate wine region in California, renowned for producing high-quality Pinot Noir and Chardonnay.
  • D. Berner
    A Berner is a resident or native of the Swiss city of Bern.
  • E. Bernhard
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • 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 Bernardo
Triple: [Santiago Metropolitan Region, contains, San Bernardo]
Generated description
San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Bernardo
Target entity description: San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
  • A. Canino
    Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
  • B. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • C. Carneros
    Carneros is a cool-climate wine region in California, renowned for producing high-quality Pinot Noir and Chardonnay.
  • D. Berner
    A Berner is a resident or native of the Swiss city of Bern.
  • E. Bernhard
    Bernhard is a male given name of Germanic origin, historically borne by various European nobles and royals, including Prince Bernhard of the Netherlands.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc8d6908190a5b2cf1051cc6d5e completed March 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9984c21c8190a1cec6c9d2df217a completed March 7, 2026, 9:32 p.m.
NEDg Description generation batch_69ac9a6c81548190a1647ef797355d53 completed March 7, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69ac9ac980f48190a23da8b222ec7601 completed March 7, 2026, 9:38 p.m.
Created at: March 1, 2026, 7:50 p.m.