Triple

T3152324
Position Surface form Disambiguated ID Type / Status
Subject Eastern Samar E65903 entity
Predicate hasMunicipality P847 FINISHED
Object Salcedo
Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
 E330842 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: Salcedo | Statement: [Eastern Samar, hasMunicipality, Salcedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salcedo
Context triple: [Eastern Samar, hasMunicipality, Salcedo]
  • A. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • B. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • C. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • D. O’Donojú
    O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
  • E. Ibarra
    Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
  • 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: Salcedo
Triple: [Eastern Samar, hasMunicipality, Salcedo]
Generated description
Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salcedo
Target entity description: Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
  • A. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • B. Supía
    Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
  • C. Espinosa
    Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
  • D. O’Donojú
    O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
  • E. Ibarra
    Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c27258819099c46a657779780b completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250088c48190a226031afda38d87 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b2258a16a8819080f4bac7a63fa145 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225e072908190bcdde199b1ec2f4c completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.