Triple

T16906886
Position Surface form Disambiguated ID Type / Status
Subject CF Fuenlabrada E424585 entity
Predicate nickname P55 FINISHED
Object Fuenla
Fuenla is the popular nickname of CF Fuenlabrada, a Spanish football club based in the city of Fuenlabrada in the Community of Madrid.
E1242964 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: Fuenla | Statement: [CF Fuenlabrada, nickname, Fuenla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fuenla
Context triple: [CF Fuenlabrada, nickname, Fuenla]
  • A. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • B. Adriasola
    Adriasola is a Spanish-language surname, notably borne by Chilean lawyer and conservative political figure María Pía Adriasola.
  • C. Almansa
    Almansa is a historic town in the province of Albacete, Spain, known for its imposing medieval castle and its role as the site of a major battle in the War of the Spanish Succession.
  • D. Royo
    Royo is the surname of American actor Andre Royo, best known for his role as Bubbles on the television series "The Wire."
  • E. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • 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: Fuenla
Triple: [CF Fuenlabrada, nickname, Fuenla]
Generated description
Fuenla is the popular nickname of CF Fuenlabrada, a Spanish football club based in the city of Fuenlabrada in the Community of Madrid.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fuenla
Target entity description: Fuenla is the popular nickname of CF Fuenlabrada, a Spanish football club based in the city of Fuenlabrada in the Community of Madrid.
  • A. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • B. Adriasola
    Adriasola is a Spanish-language surname, notably borne by Chilean lawyer and conservative political figure María Pía Adriasola.
  • C. Almansa
    Almansa is a historic town in the province of Albacete, Spain, known for its imposing medieval castle and its role as the site of a major battle in the War of the Spanish Succession.
  • D. Royo
    Royo is the surname of American actor Andre Royo, best known for his role as Bubbles on the television series "The Wire."
  • E. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca39f9b08190b15106c6caf895ec completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d458902481908f79cd5a9f72f7fd completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d4e10e848190aaa2a83012cb58ba completed May 10, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a00d5adee908190a13bfc765e7c8f06 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:30 a.m.