Triple

T3608732
Position Surface form Disambiguated ID Type / Status
Subject Centro Region E76433 entity
Predicate containsCity P294 FINISHED
Object Anadia
Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
 E374159 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: Anadia | Statement: [Centro Region, containsCity, Anadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anadia
Context triple: [Centro Region, containsCity, Anadia]
  • A. Kanosh
    Kanosh is a small town in central Utah known for its rural setting and historical ties to the early Mormon settlement of Millard County.
  • B. Minlaton
    Minlaton is a rural service town on South Australia's Yorke Peninsula, known for its agricultural production and historic aviation connections.
  • C. Anapa
    Anapa is a resort city on Russia’s Black Sea coast, known for its sandy beaches, mild climate, and popularity as a family vacation destination.
  • D. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • E. Aricia
    Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
  • 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: Anadia
Triple: [Centro Region, containsCity, Anadia]
Generated description
Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anadia
Target entity description: Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • A. Kanosh
    Kanosh is a small town in central Utah known for its rural setting and historical ties to the early Mormon settlement of Millard County.
  • B. Minlaton
    Minlaton is a rural service town on South Australia's Yorke Peninsula, known for its agricultural production and historic aviation connections.
  • C. Anapa
    Anapa is a resort city on Russia’s Black Sea coast, known for its sandy beaches, mild climate, and popularity as a family vacation destination.
  • D. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • E. Aricia
    Aricia was an ancient town in the Alban Hills of Latium, historically significant as a cult center of Diana and a key stop on the Via Appia near Rome.
  • 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.