Triple

T5848952
Position Surface form Disambiguated ID Type / Status
Subject Pérez-Castejón E129980 entity
Predicate componentSurname P5298 FINISHED
Object Castejón
Castejón is a Spanish surname that appears as the second component in the compound family name Pérez-Castejón.
 E552039 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: Castejón | Statement: [Pérez-Castejón, componentSurname, Castejón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Castejón
Context triple: [Pérez-Castejón, componentSurname, Castejón]
  • A. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • B. Higuillar
    Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
  • C. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • D. Brihuega
    Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
  • E. Cullera
    Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
  • 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: Castejón
Triple: [Pérez-Castejón, componentSurname, Castejón]
Generated description
Castejón is a Spanish surname that appears as the second component in the compound family name Pérez-Castejón.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Castejón
Target entity description: Castejón is a Spanish surname that appears as the second component in the compound family name Pérez-Castejón.
  • A. Peñaranda
    Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
  • B. Higuillar
    Higuillar is a coastal barrio (district) of the municipality of Dorado in Puerto Rico, known for its beaches and residential communities.
  • C. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • D. Brihuega
    Brihuega is a historic town in central Spain’s Castilla-La Mancha region, renowned for its medieval architecture and extensive lavender fields.
  • E. Cullera
    Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035145a0c8190941945a83a3f2416 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b052288190ace51e65f1d888ab completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a5ab04e481909dca08da3e851088 completed March 23, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0a63aca6c8190bd33b063c8285e34 completed March 23, 2026, 2:32 a.m.
Created at: March 22, 2026, 3:55 p.m.