Triple

T11786525
Position Surface form Disambiguated ID Type / Status
Subject State of Espírito Santo E280282 entity
Predicate hasPort P35 FINISHED
Object Portocel
Portocel is a specialized Brazilian maritime terminal in Espírito Santo primarily used for exporting forestry products such as pulp and paper.
 E946449 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: Portocel | Statement: [State of Espírito Santo, hasPort, Portocel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Portocel
Context triple: [State of Espírito Santo, hasPort, Portocel]
  • A. Paceco
    Paceco is a small Sicilian town in western Italy known for its agricultural landscape and proximity to the city of Trapani.
  • B. Portopetro
    Portopetro is a small coastal village and harbor on the southeast coast of Mallorca, Spain, known for its tranquil bays and traditional Mediterranean character.
  • C. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • D. Vacone
    Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
  • E. Noresco
    Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
  • 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: Portocel
Triple: [State of Espírito Santo, hasPort, Portocel]
Generated description
Portocel is a specialized Brazilian maritime terminal in Espírito Santo primarily used for exporting forestry products such as pulp and paper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Portocel
Target entity description: Portocel is a specialized Brazilian maritime terminal in Espírito Santo primarily used for exporting forestry products such as pulp and paper.
  • A. Paceco
    Paceco is a small Sicilian town in western Italy known for its agricultural landscape and proximity to the city of Trapani.
  • B. Portopetro
    Portopetro is a small coastal village and harbor on the southeast coast of Mallorca, Spain, known for its tranquil bays and traditional Mediterranean character.
  • C. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • D. Vacone
    Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
  • E. Noresco
    Noresco is an energy services and performance contracting company known for developing and implementing energy efficiency and infrastructure modernization projects.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090e8828481908baa7f6067190db3 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd3f39608190b29027b30664bd9c completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef5afd448190953b5d9929478132 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.