Triple

T21121008
Position Surface form Disambiguated ID Type / Status
Subject Xerez CD E520429 entity
Predicate shortName P43 FINISHED
Object Xerez
Xerez is a Spanish football club based in Jerez de la Frontera, Andalusia, known for competing in the country’s professional league system.
E1467244 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: Xerez | Statement: [Xerez CD, shortName, Xerez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xerez
Context triple: [Xerez CD, shortName, Xerez]
  • A. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • B. Elorza
    Elorza is a town in the Venezuelan state of Apure known for its llanero culture and traditional folk celebrations.
  • C. Urique
    Urique is a small town in the state of Chihuahua, Mexico, located at the bottom of the Urique Canyon in the Sierra Madre Occidental.
  • D. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • E. Sarzedo
    Sarzedo is a small parish (freguesia) in the municipality of Arganil, located in the Coimbra District of central Portugal.
  • 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: Xerez
Triple: [Xerez CD, shortName, Xerez]
Generated description
Xerez is a Spanish football club based in Jerez de la Frontera, Andalusia, known for competing in the country’s professional league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xerez
Target entity description: Xerez is a Spanish football club based in Jerez de la Frontera, Andalusia, known for competing in the country’s professional league system.
  • A. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • B. Elorza
    Elorza is a town in the Venezuelan state of Apure known for its llanero culture and traditional folk celebrations.
  • C. Urique
    Urique is a small town in the state of Chihuahua, Mexico, located at the bottom of the Urique Canyon in the Sierra Madre Occidental.
  • D. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • E. Sarzedo
    Sarzedo is a small parish (freguesia) in the municipality of Arganil, located in the Coimbra District of central Portugal.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e722348fe08190a1f079b7b0b5dd14 completed April 21, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965e9aab88190ae07e2d457950c51 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966879f08819096d6e9e7abe902c5 completed May 17, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a09670fc80c81909cbce03b5e071428 completed May 17, 2026, 6:58 a.m.
Created at: April 16, 2026, 2:55 p.m.