Triple

T15570335
Position Surface form Disambiguated ID Type / Status
Subject Castanheira de Pera E374221 entity
Predicate formedByMergerOf P77 FINISHED
Object Coentral
Coentral is a former civil parish in central Portugal that was incorporated into the municipality of Castanheira de Pera.
E1164982 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: Coentral | Statement: [Castanheira de Pera, formedByMergerOf, Coentral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coentral
Context triple: [Castanheira de Pera, formedByMergerOf, Coentral]
  • A. Central
    Central is a suburban city in East Baton Rouge Parish, Louisiana, known for its residential communities and proximity to Baton Rouge.
  • B. Central
    Central is the standard map abbreviation used to denote the Central line, one of the primary east–west routes on the London Underground.
  • C. Central
    Central was a former local government region in Scotland that existed from 1975 to 1996, covering areas including Stirling, Falkirk, and Clackmannan.
  • D. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • E. Central
    Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
  • 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: Coentral
Triple: [Castanheira de Pera, formedByMergerOf, Coentral]
Generated description
Coentral is a former civil parish in central Portugal that was incorporated into the municipality of Castanheira de Pera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coentral
Target entity description: Coentral is a former civil parish in central Portugal that was incorporated into the municipality of Castanheira de Pera.
  • A. Central
    Central is a suburban city in East Baton Rouge Parish, Louisiana, known for its residential communities and proximity to Baton Rouge.
  • B. Central
    Central is the standard map abbreviation used to denote the Central line, one of the primary east–west routes on the London Underground.
  • C. Central
    Central was a former local government region in Scotland that existed from 1975 to 1996, covering areas including Stirling, Falkirk, and Clackmannan.
  • D. Central
    Central is the primary public repository for Java and JVM-based libraries used by the Apache Maven build automation tool and other dependency management systems.
  • E. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e1de0488190b3639fc25f79d343 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4f27c7b08190bbe2d64eef0610f8 completed May 9, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_69ff4fc4223c8190a3dd7a6853258791 completed May 9, 2026, 3:16 p.m.
Created at: April 10, 2026, 4:10 a.m.