Triple

T23355634
Position Surface form Disambiguated ID Type / Status
Subject West Zone of Recife E593038 entity
Predicate containsNeighborhood P4813 FINISHED
Object Coqueiral
Coqueiral is a residential neighborhood located in the West Zone of Recife, in the state of Pernambuco, Brazil.
 E1583011 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: Coqueiral | Statement: [West Zone of Recife, containsNeighborhood, Coqueiral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coqueiral
Context triple: [West Zone of Recife, containsNeighborhood, Coqueiral]
  • A. Castro Verde
    Castro Verde is a rural municipality in Portugal’s Alentejo region, known for its rolling plains, cereal farming, and important birdlife habitats.
  • B. Boquerón
    Boquerón is a prominent volcanic crater located on the San Salvador volcano in El Salvador, known for its steep walls and scenic views.
  • C. Count of Ureña
    The Count of Ureña is a historic Spanish noble title traditionally held by members of the influential House of Osuna.
  • D. Moncalvo
    Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
  • E. Polonuevo
    Polonuevo is a small municipality in northern Colombia’s Caribbean region, known for its rural character and location within the Atlántico Department.
  • 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: Coqueiral
Triple: [West Zone of Recife, containsNeighborhood, Coqueiral]
Generated description
Coqueiral is a residential neighborhood located in the West Zone of Recife, in the state of Pernambuco, Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coqueiral
Target entity description: Coqueiral is a residential neighborhood located in the West Zone of Recife, in the state of Pernambuco, Brazil.
  • A. Castro Verde
    Castro Verde is a rural municipality in Portugal’s Alentejo region, known for its rolling plains, cereal farming, and important birdlife habitats.
  • B. Boquerón
    Boquerón is a prominent volcanic crater located on the San Salvador volcano in El Salvador, known for its steep walls and scenic views.
  • C. Count of Ureña
    The Count of Ureña is a historic Spanish noble title traditionally held by members of the influential House of Osuna.
  • D. Moncalvo
    Moncalvo is a small historic town in Italy’s Piedmont region, known as one of the country’s smallest cities and for its wine and truffle production.
  • E. Polonuevo
    Polonuevo is a small municipality in northern Colombia’s Caribbean region, known for its rural character and location within the Atlántico Department.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a176b548190bf5a08bb2585344d completed April 29, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dcfa8248190a55172c9784d804a completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c60283668819096076b1bf406eaa0 completed May 19, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0c60b52fe88190854803902df750c5 completed May 19, 2026, 1:08 p.m.
Created at: April 17, 2026, 5:26 p.m.