Triple

T2485726
Position Surface form Disambiguated ID Type / Status
Subject Zaragoza E55920 entity
Predicate otherRiver P165 FINISHED
Object Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
 E272634 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: Gállego | Statement: [Zaragoza, otherRiver, Gállego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gállego
Context triple: [Zaragoza, otherRiver, Gállego]
  • A. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • B. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Oliba Cabreta
    Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
  • 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: Gállego
Triple: [Zaragoza, otherRiver, Gállego]
Generated description
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gállego
Target entity description: The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
  • A. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • B. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • C. Garzón
    Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
  • D. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • E. Oliba Cabreta
    Oliba Cabreta was a 10th-century Catalan count who played a key role in consolidating and expanding the power of the counties of Cerdanya and Besalú in the eastern Pyrenees.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd17705488190b90b1aa66dd25972 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8ee974819082a2a29f8b72d131 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af201e1a748190905bb221fc5dd01e completed March 9, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69af20ad25588190b8e26e82baba731d completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:45 p.m.