Triple

T6711543
Position Surface form Disambiguated ID Type / Status
Subject Itapipoca E153154 entity
Predicate demographicsLabel P2263 FINISHED
Object Itapipoquense
Itapipoquense is the demonym for residents or natives of the municipality of Itapipoca in the state of Ceará, Brazil.
 E613088 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: Itapipoquense | Statement: [Itapipoca, demographicsLabel, Itapipoquense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Itapipoquense
Context triple: [Itapipoca, demographicsLabel, Itapipoquense]
  • A. Macaé
    Macaé is a coastal city in southeastern Brazil known for its offshore oil industry and role as a major hub for petroleum exploration.
  • B. Jacareí
    Jacareí is a municipality in southeastern Brazil known as part of the industrial and technological corridor within the state of São Paulo.
  • C. Itanhaém
    Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
  • D. Pontinha
    Pontinha is a civil parish in the municipality of Odivelas, within the Lisbon metropolitan area of Portugal.
  • E. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • 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: Itapipoquense
Triple: [Itapipoca, demographicsLabel, Itapipoquense]
Generated description
Itapipoquense is the demonym for residents or natives of the municipality of Itapipoca in the state of Ceará, Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Itapipoquense
Target entity description: Itapipoquense is the demonym for residents or natives of the municipality of Itapipoca in the state of Ceará, Brazil.
  • A. Macaé
    Macaé is a coastal city in southeastern Brazil known for its offshore oil industry and role as a major hub for petroleum exploration.
  • B. Jacareí
    Jacareí is a municipality in southeastern Brazil known as part of the industrial and technological corridor within the state of São Paulo.
  • C. Itanhaém
    Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
  • D. Pontinha
    Pontinha is a civil parish in the municipality of Odivelas, within the Lisbon metropolitan area of Portugal.
  • E. Parnamirim
    Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d108acc08190b38b43161d8912b9 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700924fdc8190990187fbc1b3ab20 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c70386196c81909d46894f783ef87a completed March 27, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69c7045cda0481908982c7c7e8dc11e5 completed March 27, 2026, 10:27 p.m.
Created at: March 27, 2026, 2:06 p.m.