Triple

T8433821
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Ensenada E199176 entity
Predicate contains P35 FINISHED
Object Camalú
Camalú is a coastal town in the Mexican state of Baja California, known for its agricultural activity and location along the Pacific Ocean within the municipality of Ensenada.
 E734237 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: Camalú | Statement: [Municipality of Ensenada, contains, Camalú]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Camalú
Context triple: [Municipality of Ensenada, contains, Camalú]
  • A. Palmilla
    Palmilla is a rural municipality in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
  • B. Mamburao
    Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
  • C. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • D. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • E. Blanga
    Blanga is an Austronesian language spoken primarily on the island of Santa Isabel in the Solomon 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: Camalú
Triple: [Municipality of Ensenada, contains, Camalú]
Generated description
Camalú is a coastal town in the Mexican state of Baja California, known for its agricultural activity and location along the Pacific Ocean within the municipality of Ensenada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Camalú
Target entity description: Camalú is a coastal town in the Mexican state of Baja California, known for its agricultural activity and location along the Pacific Ocean within the municipality of Ensenada.
  • A. Palmilla
    Palmilla is a rural municipality in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
  • B. Mamburao
    Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
  • C. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • D. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • E. Blanga
    Blanga is an Austronesian language spoken primarily on the island of Santa Isabel in the Solomon 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a74d948190abd76e7a6efb42ec completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d71d9748190903ed97dde6d28f4 completed April 2, 2026, 7:40 a.m.
NEDg Description generation batch_69ce1fb008988190ae8e148cd937f5c4 completed April 2, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce205313fc8190863dbc6c904ef1af completed April 2, 2026, 7:52 a.m.
Created at: March 30, 2026, 6:07 p.m.