Triple

T27484867
Position Surface form Disambiguated ID Type / Status
Subject Arlanzón River E693706 entity
Predicate hasRiverPark P25335 FINISHED
Object Parque de la Isla
Parque de la Isla is a riverside urban park in Burgos, Spain, known for its landscaped gardens, walking paths, and historic monuments along the Arlanzón River.
 E1776247 NE FINISHED

How this triple was built (3 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: Parque de la Isla | Statement: [Arlanzón River, hasRiverPark, Parque de la Isla]
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: Parque de la Isla
Triple: [Arlanzón River, hasRiverPark, Parque de la Isla]
Generated description
Parque de la Isla is a riverside urban park in Burgos, Spain, known for its landscaped gardens, walking paths, and historic monuments along the Arlanzón River.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRiverPark
Context triple: [Arlanzón River, hasRiverPark, Parque de la Isla]
  • A. hasRiverValleyPark chosen
    Indicates that a place includes or is associated with a park located in or along a river valley.
  • B. hasRiverfrontDistrict
    Indicates that a place includes a designated district or area that directly borders and is oriented around a river.
  • C. hasRiverCommunity
    Indicates that there is a community located along, dependent on, or closely associated with a particular river.
  • D. isCentralParkOf
    Indicates that a location serves as the primary or central park for a specified area, city, or region.
  • E. hasRiverBeach
    Indicates that a location includes or is characterized by a beach area along a river.
  • F. None of above.

Provenance (6 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_69ef5381f2648190a2392d0fab833095 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f68805b4848190b75da14996d52a38 completed May 2, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbecb7a48190a0a8112af3fb1ebc completed May 24, 2026, 8:50 a.m.
NEDg Description generation batch_6a12bd0d87a88190a617ee64551f7d93 completed May 24, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_6a12be3a604c8190887660a427cd9f2f completed May 24, 2026, 9 a.m.
PD Predicate disambiguation batch_69f68609c0b08190a8e1238a4d97c270 completed May 2, 2026, 11:17 p.m.
Created at: April 27, 2026, 1:01 p.m.