Triple

T11248167
Position Surface form Disambiguated ID Type / Status
Subject Morazán Department E266259 entity
Predicate hasMunicipality P847 FINISHED
Object Sensembra
Sensembra is a small municipality located in the mountainous Morazán Department of northeastern El Salvador.
 E914105 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: Sensembra | Statement: [Morazán Department, hasMunicipality, Sensembra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sensembra
Context triple: [Morazán Department, hasMunicipality, Sensembra]
  • A. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • B. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • C. Allerona
    Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
  • D. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • E. Atessa
    Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
  • 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: Sensembra
Triple: [Morazán Department, hasMunicipality, Sensembra]
Generated description
Sensembra is a small municipality located in the mountainous Morazán Department of northeastern El Salvador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sensembra
Target entity description: Sensembra is a small municipality located in the mountainous Morazán Department of northeastern El Salvador.
  • A. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • B. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • C. Allerona
    Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
  • D. Meliae
    The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
  • E. Atessa
    Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91d1484819098ee6b2efb5316a5 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cc76b10c8190962b21c4cad6ce8f completed April 19, 2026, 12:37 p.m.
NEDg Description generation batch_69e4d9eb79608190b7ed108906f4e2bf completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4df50eebc8190a4fe0aba7dc9fa62 completed April 19, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:31 p.m.