Triple

T8409423
Position Surface form Disambiguated ID Type / Status
Subject Rías Altas E198583 entity
Predicate contains P35 FINISHED
Object Cedeira
Cedeira is a coastal town and fishing port in the province of A Coruña in Galicia, northwestern Spain, known for its rugged cliffs and Atlantic beaches.
 E731467 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: Cedeira | Statement: [Rías Altas, contains, Cedeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cedeira
Context triple: [Rías Altas, contains, Cedeira]
  • A. Iadera
    Iadera is the ancient Roman and medieval Latin name for the coastal city now known as Zadar in Croatia.
  • B. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • C. Carahue
    Carahue is a Chilean town and municipality located in the Cautín Province of the Araucanía Region, known historically as a river port and gateway to nearby coastal and Mapuche communities.
  • D. Verdú
    Verdú is a Spanish surname most notably borne by acclaimed film and television actress Maribel Verdú.
  • E. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • 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: Cedeira
Triple: [Rías Altas, contains, Cedeira]
Generated description
Cedeira is a coastal town and fishing port in the province of A Coruña in Galicia, northwestern Spain, known for its rugged cliffs and Atlantic beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cedeira
Target entity description: Cedeira is a coastal town and fishing port in the province of A Coruña in Galicia, northwestern Spain, known for its rugged cliffs and Atlantic beaches.
  • A. Iadera
    Iadera is the ancient Roman and medieval Latin name for the coastal city now known as Zadar in Croatia.
  • B. Shimea
    Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
  • C. Carahue
    Carahue is a Chilean town and municipality located in the Cautín Province of the Araucanía Region, known historically as a river port and gateway to nearby coastal and Mapuche communities.
  • D. Verdú
    Verdú is a Spanish surname most notably borne by acclaimed film and television actress Maribel Verdú.
  • E. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8317045c8190b69cc99854b633be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce030dccf08190a70c0abf0bdcf244 completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce07808098819087e896b87320aefd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08759e1c81909c96caf3b571e1ca completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.