Triple

T12752853
Position Surface form Disambiguated ID Type / Status
Subject La Paz Municipality E304778 entity
Predicate contains P35 FINISHED
Object Todos Santos
Todos Santos is a coastal town in Baja California Sur, Mexico, known for its historic charm, art galleries, and nearby surf beaches.
 E325002 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: Todos Santos | Statement: [La Paz Municipality, contains, Todos Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Todos Santos
Context triple: [La Paz Municipality, contains, Todos Santos]
  • A. Todos Santos
    Todos Santos was the original name of what is now Concord, California, a town that began as a small 19th-century agricultural community in the East Bay region.
  • B. San Cristóbal
    San Cristóbal is a traditional residential neighborhood in Buenos Aires, Argentina, known for its historic architecture and central urban location.
  • C. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • D. San Cristóbal
    San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
  • E. San Cristóbal
    San Cristóbal is the former name of the historic highland city now known as San Cristóbal de las Casas in the Mexican state of Chiapas.
  • 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: Todos Santos
Triple: [La Paz Municipality, contains, Todos Santos]
Generated description
Todos Santos is a coastal town in Baja California Sur, Mexico, known for its historic charm, art galleries, and nearby surf beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Todos Santos
Target entity description: Todos Santos is a coastal town in Baja California Sur, Mexico, known for its historic charm, art galleries, and nearby surf beaches.
  • A. Todos Santos chosen
    Todos Santos was the original name of what is now Concord, California, a town that began as a small 19th-century agricultural community in the East Bay region.
  • B. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • C. San Cristóbal
    San Cristóbal is a traditional residential neighborhood in Buenos Aires, Argentina, known for its historic architecture and central urban location.
  • D. San Cristóbal
    San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
  • E. San Cristóbal
    San Cristóbal is the former name of the historic highland city now known as San Cristóbal de las Casas in the Mexican state of Chiapas.
  • F. None of above.

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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:27 p.m.