Triple

T5508294
Position Surface form Disambiguated ID Type / Status
Subject Francisco Morazán Department E144498 entity
Predicate contains P35 FINISHED
Object San Miguelito
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
 E534536 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 Miguelito | Statement: [Francisco Morazán Department, contains, San Miguelito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Miguelito
Context triple: [Francisco Morazán Department, contains, San Miguelito]
  • A. San Miguel
    San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
  • B. San Miguel
    San Miguel is a town located within Bolívar Province in central Ecuador, known for its Andean setting and local agricultural activities.
  • C. San Miguel
    San Miguel is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and rural communities.
  • D. San Miguel
    San Miguel is a barangay (local administrative district) within the highly urbanized city of Taguig in Metro Manila, Philippines.
  • E. San Miguel
    San Miguel is a coastal district of Lima, Peru, known for its residential areas, shopping centers, and access to major avenues and the Pacific shoreline.
  • 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 Miguelito
Triple: [Francisco Morazán Department, contains, San Miguelito]
Generated description
San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Miguelito
Target entity description: San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
  • A. San Miguel
    San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
  • B. San Miguel
    San Miguel is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and rural communities.
  • C. San Miguel
    San Miguel is a town located within Bolívar Province in central Ecuador, known for its Andean setting and local agricultural activities.
  • D. San Miguel
    San Miguel is a coastal district of Lima, Peru, known for its residential areas, shopping centers, and access to major avenues and the Pacific shoreline.
  • E. San Miguel
    San Miguel is a barangay (local administrative district) within the highly urbanized city of Taguig in Metro Manila, Philippines.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4a80d88190bab0056c4c78be93 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cb487408190af6f4f2b3a8543c1 completed March 22, 2026, 8:10 p.m.
NEDg Description generation batch_69c04e827bdc819086e01e7043400452 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f088a3c81909610f1a564960e0f completed March 22, 2026, 8:20 p.m.
Created at: March 22, 2026, 3:33 p.m.