Triple

T7782137
Position Surface form Disambiguated ID Type / Status
Subject Pontevedra E221545 entity
Predicate contains P35 FINISHED
Object Lalín
Lalín is a municipality in the interior of the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
 E693367 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: Lalín | Statement: [Pontevedra, contains, Lalín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lalín
Context triple: [Pontevedra, contains, Lalín]
  • A. Pribylina
    Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
  • B. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • C. Lipnik
    Lipnik is a village and administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • D. Považie
    Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
  • E. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • 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: Lalín
Triple: [Pontevedra, contains, Lalín]
Generated description
Lalín is a municipality in the interior of the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lalín
Target entity description: Lalín is a municipality in the interior of the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • A. Pribylina
    Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
  • B. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • C. Lipnik
    Lipnik is a village and administrative district in south-central Poland, located within the Świętokrzyskie Voivodeship.
  • D. Považie
    Považie is a historical and geographical region of Slovakia situated along the Váh River, known for its valleys, towns, and cultural significance.
  • E. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5d30c748190bbb71534cfdf4f75 completed March 30, 2026, 10:14 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:21 p.m.