Triple

T3608717
Position Surface form Disambiguated ID Type / Status
Subject Centro Region E76433 entity
Predicate containsCity P294 FINISHED
Object Nazaré
Nazaré is a Portuguese coastal town famous for its massive Atlantic waves and big-wave surfing.
E374148 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: Nazaré | Statement: [Centro Region, containsCity, Nazaré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazaré
Context triple: [Centro Region, containsCity, Nazaré]
  • A. Costa da Caparica
    Costa da Caparica is a coastal town and popular beach destination just south of Lisbon, Portugal, known for its long sandy shoreline and Atlantic surf.
  • B. Port of Sines
    Port of Sines is a major deep-water seaport on Portugal’s southwest coast, serving as a key hub for energy, container, and bulk cargo traffic in the Atlantic.
  • C. Algar
    Algar is a surname of English origin borne by various notable individuals, including figures in the arts and entertainment.
  • D. Port of Faro
    The Port of Faro is a maritime harbor in southern Portugal that serves as a regional hub for commercial shipping, fishing, and nautical tourism in the Algarve.
  • E. Praia de Alvor
    Praia de Alvor is a popular sandy beach in the Algarve region of southern Portugal, known for its wide shoreline, calm waters, and scenic boardwalks through nearby dunes and wetlands.
  • 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: Nazaré
Triple: [Centro Region, containsCity, Nazaré]
Generated description
Nazaré is a Portuguese coastal town famous for its massive Atlantic waves and big-wave surfing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nazaré
Target entity description: Nazaré is a Portuguese coastal town famous for its massive Atlantic waves and big-wave surfing.
  • A. Costa da Caparica
    Costa da Caparica is a coastal town and popular beach destination just south of Lisbon, Portugal, known for its long sandy shoreline and Atlantic surf.
  • B. Port of Sines
    Port of Sines is a major deep-water seaport on Portugal’s southwest coast, serving as a key hub for energy, container, and bulk cargo traffic in the Atlantic.
  • C. Algar
    Algar is a surname of English origin borne by various notable individuals, including figures in the arts and entertainment.
  • D. Port of Faro
    The Port of Faro is a maritime harbor in southern Portugal that serves as a regional hub for commercial shipping, fishing, and nautical tourism in the Algarve.
  • E. Praia de Alvor
    Praia de Alvor is a popular sandy beach in the Algarve region of southern Portugal, known for its wide shoreline, calm waters, and scenic boardwalks through nearby dunes and wetlands.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b437cf839881909b1d505328285123 completed March 13, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69b43835994c81909230bbb21b12b8ef completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:22 p.m.