Triple

T16986183
Position Surface form Disambiguated ID Type / Status
Subject San Miguel Department E412070 entity
Predicate contains P35 FINISHED
Object Sesori
Sesori is a municipality and town in eastern El Salvador, located within the San Miguel Department.
 E1244901 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: Sesori | Statement: [San Miguel Department, contains, Sesori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sesori
Context triple: [San Miguel Department, contains, Sesori]
  • A. Sahurs
    Sahurs is a small commune in northern France, situated along the Seine River in the Normandy region.
  • B. Sussudio
    Sussudio is a 1985 synth-pop song by English musician Phil Collins, known for its upbeat groove, prominent horn section, and nonsense-title hook.
  • C. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • D. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • E. Sorso
    Sorso is a town in northern Sardinia, Italy, known for its Sardinian (Sassarese) linguistic heritage and coastal Mediterranean setting.
  • 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: Sesori
Triple: [San Miguel Department, contains, Sesori]
Generated description
Sesori is a municipality and town in eastern El Salvador, located within the San Miguel Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sesori
Target entity description: Sesori is a municipality and town in eastern El Salvador, located within the San Miguel Department.
  • A. Sahurs
    Sahurs is a small commune in northern France, situated along the Seine River in the Normandy region.
  • B. Sussudio
    Sussudio is a 1985 synth-pop song by English musician Phil Collins, known for its upbeat groove, prominent horn section, and nonsense-title hook.
  • C. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • D. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • E. Sorso
    Sorso is a town in northern Sardinia, Italy, known for its Sardinian (Sassarese) linguistic heritage and coastal Mediterranean setting.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27b58908190a643bcbd105b1849 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1109a081908890bbd5958c76c2 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d5aeb0819086f1a5d279ac0d0f completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0115c967b0819088e2335fd45d755b completed May 10, 2026, 11:33 p.m.
Created at: April 10, 2026, 5:32 a.m.