Triple

T8573571
Position Surface form Disambiguated ID Type / Status
Subject Guadalmedina River E202988 entity
Predicate crossedBy P416 FINISHED
Object Puente de Tetuán
Puente de Tetuán is a bridge in Málaga, Spain, that carries traffic across the Guadalmedina River near the city center.
 E745043 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: Puente de Tetuán | Statement: [Guadalmedina River, crossedBy, Puente de Tetuán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Puente de Tetuán
Context triple: [Guadalmedina River, crossedBy, Puente de Tetuán]
  • A. Puente de Aragón
    Puente de Aragón is a road bridge in Valencia, Spain, that spans the Turia River and connects key districts of the city.
  • B. Puente Zaragoza
    Puente Zaragoza is a bridge spanning the Santa Catarina River, serving as a key transportation link in the surrounding region.
  • C. Puente de Arganda
    Puente de Arganda is a bridge spanning the Jarama River in the Madrid region of Spain, serving as a key local crossing and transport link.
  • D. Puente de Toledo
    Puente de Toledo is a historic Baroque stone bridge in Madrid, Spain, renowned for its ornate sculptures and architectural significance.
  • E. Puente de Tordesillas
    Puente de Tordesillas is a historic bridge in the Spanish town of Tordesillas, known for spanning the Duero River and contributing to the town’s medieval character.
  • 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: Puente de Tetuán
Triple: [Guadalmedina River, crossedBy, Puente de Tetuán]
Generated description
Puente de Tetuán is a bridge in Málaga, Spain, that carries traffic across the Guadalmedina River near the city center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Puente de Tetuán
Target entity description: Puente de Tetuán is a bridge in Málaga, Spain, that carries traffic across the Guadalmedina River near the city center.
  • A. Puente de Aragón
    Puente de Aragón is a road bridge in Valencia, Spain, that spans the Turia River and connects key districts of the city.
  • B. Puente Zaragoza
    Puente Zaragoza is a bridge spanning the Santa Catarina River, serving as a key transportation link in the surrounding region.
  • C. Puente de Arganda
    Puente de Arganda is a bridge spanning the Jarama River in the Madrid region of Spain, serving as a key local crossing and transport link.
  • D. Puente de Toledo
    Puente de Toledo is a historic Baroque stone bridge in Madrid, Spain, renowned for its ornate sculptures and architectural significance.
  • E. Puente de Tordesillas
    Puente de Tordesillas is a historic bridge in the Spanish town of Tordesillas, known for spanning the Duero River and contributing to the town’s medieval character.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea458c1081908e79bee2cbf97207 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea88464b88190983e22e70bf38e63 completed April 2, 2026, 5:33 p.m.
NEDg Description generation batch_69cea9cff1ec8190a0093fb42782341e completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa9f7f8c8190965e86880ff141d5 completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:21 p.m.