Triple

T6891775
Position Surface form Disambiguated ID Type / Status
Subject Biscay E159064 entity
Predicate contains P35 FINISHED
Object Plentzia
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
 E635025 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: Plentzia | Statement: [Biscay, contains, Plentzia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plentzia
Context triple: [Biscay, contains, Plentzia]
  • A. Santurtzi
    Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
  • B. Zarautz
    Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
  • C. Portugalete
    Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
  • D. Sestao
    Sestao is an industrial town and municipality in the Basque province of Biscay in northern Spain, situated along the Nervión River near Bilbao.
  • E. Errenteria
    Errenteria is a town and municipality in the province of Gipuzkoa in Spain’s Basque Country, known for its industrial heritage and proximity to San Sebastián.
  • 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: Plentzia
Triple: [Biscay, contains, Plentzia]
Generated description
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plentzia
Target entity description: Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
  • A. Santurtzi
    Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
  • B. Zarautz
    Zarautz is a coastal town in Spain’s Basque Country, known for its long sandy beach and strong surfing culture.
  • C. Portugalete
    Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
  • D. Sestao
    Sestao is an industrial town and municipality in the Basque province of Biscay in northern Spain, situated along the Nervión River near Bilbao.
  • E. Errenteria
    Errenteria is a town and municipality in the province of Gipuzkoa in Spain’s Basque Country, known for its industrial heritage and proximity to San Sebastián.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d92ecbdc8190992f9c7f4f33f4c4 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769f2269c8190a476287a8ad4bec9 completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76a9bd2c88190a6f3a2a522ac8932 completed March 28, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69c76aefadf08190bc20b34991af9461 completed March 28, 2026, 5:45 a.m.
Created at: March 27, 2026, 2:24 p.m.