Triple

T18003119
Position Surface form Disambiguated ID Type / Status
Subject Isabela Province E430675 entity
Predicate hasMunicipality P847 FINISHED
Object San Manuel
San Manuel is a municipality in the Philippine province of Isabela, known for its predominantly agricultural economy and rural communities.
 E1300308 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 Manuel | Statement: [Isabela Province, hasMunicipality, San Manuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Manuel
Context triple: [Isabela Province, hasMunicipality, San Manuel]
  • A. San Manuel
    San Manuel is a municipality in the province of Tarlac in the Philippines, known primarily as an agricultural community.
  • B. San Manuel
    San Manuel is a town and municipality located in the Cortés Department of northwestern Honduras.
  • C. San Manuel Colohete
    San Manuel Colohete is a small rural municipality in western Honduras known for its traditional Lenca culture and colonial-era church.
  • D. San Quintín
    San Quintín is a coastal town in Baja California, Mexico, known for its agricultural production, volcanic landscapes, and growing tourism along the Pacific coast.
  • E. Barrazas
    Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
  • 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 Manuel
Triple: [Isabela Province, hasMunicipality, San Manuel]
Generated description
San Manuel is a municipality in the Philippine province of Isabela, known for its predominantly agricultural economy and rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Manuel
Target entity description: San Manuel is a municipality in the Philippine province of Isabela, known for its predominantly agricultural economy and rural communities.
  • A. San Manuel
    San Manuel is a municipality in the province of Tarlac in the Philippines, known primarily as an agricultural community.
  • B. San Manuel
    San Manuel is a town and municipality located in the Cortés Department of northwestern Honduras.
  • C. San Manuel Colohete
    San Manuel Colohete is a small rural municipality in western Honduras known for its traditional Lenca culture and colonial-era church.
  • D. San Quintín
    San Quintín is a coastal town in Baja California, Mexico, known for its agricultural production, volcanic landscapes, and growing tourism along the Pacific coast.
  • E. Barrazas
    Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3ea60608190b977644e946407b7 completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337b6b7e48190a649dda888450b2d completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca755e08190aa5003164b49f196 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d7a601c8190a4746adfdfffbca8 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.