Triple

T3138278
Position Surface form Disambiguated ID Type / Status
Subject Northern Samar E65583 entity
Predicate hasMunicipality P847 FINISHED
Object San Roque
San Roque is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and rural agricultural economy.
 E332515 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 Roque | Statement: [Northern Samar, hasMunicipality, San Roque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Roque
Context triple: [Northern Samar, hasMunicipality, San Roque]
  • A. La Yesca
    La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
  • B. El Carmen
    El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
  • C. San Juan de Rioseco
    San Juan de Rioseco is a small municipality and town located in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
  • 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 a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • 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 Roque
Triple: [Northern Samar, hasMunicipality, San Roque]
Generated description
San Roque is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and rural agricultural economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Roque
Target entity description: San Roque is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and rural agricultural economy.
  • A. La Yesca
    La Yesca is a municipality and town located in the mountainous southeastern region of the Mexican state of Nayarit.
  • B. El Carmen
    El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
  • C. San Juan de Rioseco
    San Juan de Rioseco is a small municipality and town located in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
  • 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 a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada574509c81908a88bb10ea35516d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224dcd1bc8190948b80c686d0e641 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b225c419cc8190ac157b5996132d3f completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b2264e67748190920fbd2db5355de4 completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.