Triple

T13634635
Position Surface form Disambiguated ID Type / Status
Subject San Miguelito District E325815 entity
Predicate capital P234 FINISHED
Object San Miguelito
San Miguelito is a densely populated urban city in the Panama City metropolitan area, known as one of Panama’s largest and most important residential and commercial centers.
 E1052017 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: [San Miguelito District, capital, San Miguelito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Miguelito
Context triple: [San Miguelito District, capital, San Miguelito]
  • A. San Miguelito
    San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
  • B. 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.
  • 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 municipality located in Colombia’s southern Putumayo Department, near the border with Ecuador.
  • E. San Miguel
    San Miguel is a city in the Greater Buenos Aires metropolitan area of Argentina, located in the northwest of Buenos Aires Province.
  • 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: [San Miguelito District, capital, San Miguelito]
Generated description
San Miguelito is a densely populated urban city in the Panama City metropolitan area, known as one of Panama’s largest and most important residential and commercial centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Miguelito
Target entity description: San Miguelito is a densely populated urban city in the Panama City metropolitan area, known as one of Panama’s largest and most important residential and commercial centers.
  • A. San Miguelito
    San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
  • B. 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.
  • C. San Miguel
    San Miguel is a municipality located in Colombia’s southern Putumayo Department, near the border with Ecuador.
  • D. San Miguel
    San Miguel is a city in the Greater Buenos Aires metropolitan area of Argentina, located in the northwest of Buenos Aires Province.
  • E. 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.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fac7eac81909338f3b21baf7112 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f780850ffc8190b41b3ff7ca35494f completed May 3, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69f7849416b88190a0ef9d3e26e7b129 completed May 3, 2026, 5:23 p.m.
Created at: April 9, 2026, 9:51 p.m.