Triple

T9522346
Position Surface form Disambiguated ID Type / Status
Subject Province of Almería E229672 entity
Predicate hasMunicipalities P747 FINISHED
Object Adra
Adra is a coastal municipality in the southwestern part of Spain’s Province of Almería, known for its fishing port and agricultural production.
 E803912 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: Adra | Statement: [Province of Almería, hasMunicipalities, Adra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adra
Context triple: [Province of Almería, hasMunicipalities, Adra]
  • A. Adra
    Adra is a small settlement located within Harku Parish in northern Estonia.
  • B. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • C. Avdira
    Avdira is a modern Greek town in Western Thrace, known for its proximity to the archaeological site of ancient Abdera, birthplace of the philosopher Democritus.
  • D. 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.
  • E. Arida
    Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
  • 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: Adra
Triple: [Province of Almería, hasMunicipalities, Adra]
Generated description
Adra is a coastal municipality in the southwestern part of Spain’s Province of Almería, known for its fishing port and agricultural production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adra
Target entity description: Adra is a coastal municipality in the southwestern part of Spain’s Province of Almería, known for its fishing port and agricultural production.
  • A. Adra
    Adra is a small settlement located within Harku Parish in northern Estonia.
  • B. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • C. Avdira
    Avdira is a modern Greek town in Western Thrace, known for its proximity to the archaeological site of ancient Abdera, birthplace of the philosopher Democritus.
  • D. 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.
  • E. Arida
    Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989788e4819086c235bf37a56b04 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a5cd2d881908b27649b396c50a1 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13be79b1c8190a9110312ae25cf32 completed April 4, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69d13ca165b88190b4d629df0e079b3b completed April 4, 2026, 4:30 p.m.
Created at: March 30, 2026, 7:59 p.m.