Triple

T9108164
Position Surface form Disambiguated ID Type / Status
Subject Duero E218527 entity
Predicate tributary P415 FINISHED
Object Huebra
The Huebra is a river in western Spain that flows through the provinces of Salamanca and Cáceres before joining the Duero.
 E779453 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: Huebra | Statement: [Duero, tributary, Huebra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huebra
Context triple: [Duero, tributary, Huebra]
  • A. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • B. Huelma
    Huelma is a municipality in the province of Jaén, Andalusia, Spain, known for its rural setting and cultural landmarks.
  • C. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • D. Chámeza
    Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
  • E. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • 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: Huebra
Triple: [Duero, tributary, Huebra]
Generated description
The Huebra is a river in western Spain that flows through the provinces of Salamanca and Cáceres before joining the Duero.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huebra
Target entity description: The Huebra is a river in western Spain that flows through the provinces of Salamanca and Cáceres before joining the Duero.
  • A. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • B. Huelma
    Huelma is a municipality in the province of Jaén, Andalusia, Spain, known for its rural setting and cultural landmarks.
  • C. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • D. Chámeza
    Chámeza is a small rural municipality located in the Casanare Department of eastern Colombia, known for its agricultural activities and foothill landscapes of the Eastern Andes.
  • E. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca57543448190829853c31e05dd8c completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0302bfa00819097e752f1d0581d2d completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d0343c1e78819084c7d2ca38f55529 completed April 3, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69d034a46b088190b8c056eee73d4eaf completed April 3, 2026, 9:44 p.m.
Created at: March 30, 2026, 7:16 p.m.