Triple

T23461564
Position Surface form Disambiguated ID Type / Status
Subject Suchitepéquez Department E568988 entity
Predicate hasMunicipality P847 FINISHED
Object San Miguel Panán
San Miguel Panán is a municipality in southwestern Guatemala known for its agricultural economy and location within the coastal Suchitepéquez region.
E1589750 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 Miguel Panán | Statement: [Suchitepéquez Department, hasMunicipality, San Miguel Panán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Miguel Panán
Context triple: [Suchitepéquez Department, hasMunicipality, San Miguel Panán]
  • A. San Miguelito
    San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
  • B. 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.
  • C. San Miguel Ilaya
    San Miguel Ilaya is a rural barangay within the municipality of Dumalag in the province of Capiz, Philippines.
  • D. San Miguel
    San Miguel is a neighborhood within the municipality of Basauri in the Basque Country region of northern Spain.
  • E. San Miguel
    San Miguel is a municipality located in Colombia’s southern Putumayo Department, near the border with Ecuador.
  • 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 Miguel Panán
Triple: [Suchitepéquez Department, hasMunicipality, San Miguel Panán]
Generated description
San Miguel Panán is a municipality in southwestern Guatemala known for its agricultural economy and location within the coastal Suchitepéquez region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Miguel Panán
Target entity description: San Miguel Panán is a municipality in southwestern Guatemala known for its agricultural economy and location within the coastal Suchitepéquez region.
  • A. San Miguelito
    San Miguelito is a municipality located within the Francisco Morazán Department of Honduras.
  • B. 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.
  • C. San Miguel Ilaya
    San Miguel Ilaya is a rural barangay within the municipality of Dumalag in the province of Capiz, Philippines.
  • D. San Miguel
    San Miguel is a neighborhood within the municipality of Basauri in the Basque Country region of northern Spain.
  • E. San Miguel
    San Miguel is a municipality located in Colombia’s southern Putumayo Department, near the border with Ecuador.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a69bc200819096ed2baf25cdee4f completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c825113588190a251450dc28f737b completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eee2f48190b4e03039c4c96abe completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca819f6dc8190852bb3c06768ac5a completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:54 p.m.