Triple

T9910673
Position Surface form Disambiguated ID Type / Status
Subject Santpedor E185131 entity
Predicate hasAlternativeName P39 FINISHED
Object San Pedro (Spanish form)
San Pedro is the Spanish name for the Catalan town of Santpedor in the province of Barcelona, Spain.
E829606 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 Pedro (Spanish form) | Statement: [Santpedor, hasAlternativeName, San Pedro (Spanish form)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedro (Spanish form)
Context triple: [Santpedor, hasAlternativeName, San Pedro (Spanish form)]
  • A. San Pedro
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • B. San Pedro
    San Pedro is a suburban city in the province of Laguna in the Philippines, known as a residential and industrial hub just south of Metro Manila.
  • C. San Pedro
    San Pedro is a popular coastal town on Ambergris Caye in Belize, known for its laid-back atmosphere and easy access to the Belize Barrier Reef.
  • D. San Pedro
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • E. San Pedro
    San Pedro is the main town and administrative center of the municipality of Breña Alta on the island of La Palma in Spain’s Canary Islands.
  • 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 Pedro (Spanish form)
Triple: [Santpedor, hasAlternativeName, San Pedro (Spanish form)]
Generated description
San Pedro is the Spanish name for the Catalan town of Santpedor in the province of Barcelona, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Pedro (Spanish form)
Target entity description: San Pedro is the Spanish name for the Catalan town of Santpedor in the province of Barcelona, Spain.
  • A. San Pedro
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • B. San Pedro
    San Pedro is a suburban city in the province of Laguna in the Philippines, known as a residential and industrial hub just south of Metro Manila.
  • C. San Pedro
    San Pedro is a popular coastal town on Ambergris Caye in Belize, known for its laid-back atmosphere and easy access to the Belize Barrier Reef.
  • D. San Pedro
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • E. San Pedro
    San Pedro is the main town and administrative center of the municipality of Breña Alta on the island of La Palma in Spain’s Canary Islands.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb512a26881908eb72a21ffb1efef completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dbfa89881909ea6bbcfcf6fc08f completed April 5, 2026, 7:22 a.m.
NEDg Description generation batch_69d20ed1f69c819099faa881a9a4368d completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d212e3b864819092b8464f5a5ab696 completed April 5, 2026, 7:44 a.m.
Created at: March 30, 2026, 8:41 p.m.