Triple

T8439805
Position Surface form Disambiguated ID Type / Status
Subject Calamba, Laguna E199320 entity
Predicate hasDemonym P191 FINISHED
Object Calambeña
Calambeña is the Spanish-derived demonym referring to a female resident or native of Calamba City in the province of Laguna, Philippines.
 E733495 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: Calambeña | Statement: [Calamba, Laguna, hasDemonym, Calambeña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Calambeña
Context triple: [Calamba, Laguna, hasDemonym, Calambeña]
  • A. Verdolagas
    Verdolagas is the popular nickname of Honduran football club Marathón, one of the country’s most traditional and successful teams.
  • B. Meloneras
    Meloneras is an upscale coastal resort area in southern Gran Canaria, Spain, known for its luxury hotels, seaside promenade, and proximity to the Maspalomas dunes and lighthouse.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Yerbas Buenas
    Yerbas Buenas is a historic rural town and municipality in Chile’s Maule Region, known for its colonial heritage and role in the country’s independence era.
  • E. Manzanilla
    Manzanilla is a dry, pale Spanish fino-style sherry wine traditionally produced and aged in the coastal town of Sanlúcar de Barrameda.
  • 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: Calambeña
Triple: [Calamba, Laguna, hasDemonym, Calambeña]
Generated description
Calambeña is the Spanish-derived demonym referring to a female resident or native of Calamba City in the province of Laguna, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Calambeña
Target entity description: Calambeña is the Spanish-derived demonym referring to a female resident or native of Calamba City in the province of Laguna, Philippines.
  • A. Verdolagas
    Verdolagas is the popular nickname of Honduran football club Marathón, one of the country’s most traditional and successful teams.
  • B. Meloneras
    Meloneras is an upscale coastal resort area in southern Gran Canaria, Spain, known for its luxury hotels, seaside promenade, and proximity to the Maspalomas dunes and lighthouse.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Yerbas Buenas
    Yerbas Buenas is a historic rural town and municipality in Chile’s Maule Region, known for its colonial heritage and role in the country’s independence era.
  • E. Manzanilla
    Manzanilla is a dry, pale Spanish fino-style sherry wine traditionally produced and aged in the coastal town of Sanlúcar de Barrameda.
  • 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_69cbe13708988190a534e38d8254c9bd completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f12e1a081909d28b06c520353ef completed April 2, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fb498448190a2737b8895f6bb48 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:08 p.m.