Triple

T7369362
Position Surface form Disambiguated ID Type / Status
Subject Pará E169954 entity
Predicate hasMajorCity P316 FINISHED
Object Castanhal
Castanhal is a significant urban and commercial center in the northeastern part of the Brazilian state of Pará.
E660115 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: Castanhal | Statement: [Pará, hasMajorCity, Castanhal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castanhal
Context triple: [Pará, hasMajorCity, Castanhal]
  • A. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • B. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • C. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • 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: Castanhal
Triple: [Pará, hasMajorCity, Castanhal]
Generated description
Castanhal is a significant urban and commercial center in the northeastern part of the Brazilian state of Pará.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Castanhal
Target entity description: Castanhal is a significant urban and commercial center in the northeastern part of the Brazilian state of Pará.
  • A. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • B. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • C. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • D. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • E. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1810668819094aec4b237d08068 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802c3a4788190850294b054b9c928 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c803baa4d48190941174246f533399 completed March 28, 2026, 4:37 p.m.
NED2 Entity disambiguation (via description) batch_69c80457cca08190a392b4efaa50a3f4 completed March 28, 2026, 4:39 p.m.
Created at: March 27, 2026, 3:07 p.m.