Triple

T16563965
Position Surface form Disambiguated ID Type / Status
Subject Sorsogon E402408 entity
Predicate hasMunicipality P847 FINISHED
Object Castilla
Castilla is a coastal municipality in the Philippine province of Sorsogon known for its agricultural lands and fishing communities.
 E1220586 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: Castilla | Statement: [Sorsogon, hasMunicipality, Castilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Castilla
Context triple: [Sorsogon, hasMunicipality, Castilla]
  • A. Castilla
    Castilla is a genus of tropical American trees in the mulberry family, best known for species that produce natural rubber.
  • B. Castilla
    Castilla was a 19th-century Spanish wooden-hulled armored frigate that served in the Spanish Navy’s Pacific operations.
  • C. Castilla
    Castilla is the reserve team of Real Madrid CF, competing in Spain’s lower professional divisions and serving as a development squad for the club’s young talents.
  • D. Castilla
    Castilla is a Spanish surname of likely toponymic origin, associated with the historical region of Castile in Spain.
  • E. Castilla
    Castilla is a residential and commercial neighborhood in Madrid, Spain, known for its mix of modern developments and traditional urban character.
  • 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: Castilla
Triple: [Sorsogon, hasMunicipality, Castilla]
Generated description
Castilla is a coastal municipality in the Philippine province of Sorsogon known for its agricultural lands and fishing communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Castilla
Target entity description: Castilla is a coastal municipality in the Philippine province of Sorsogon known for its agricultural lands and fishing communities.
  • A. Castilla
    Castilla is a genus of tropical American trees in the mulberry family, best known for species that produce natural rubber.
  • B. Castilla
    Castilla was a 19th-century Spanish wooden-hulled armored frigate that served in the Spanish Navy’s Pacific operations.
  • C. Castilla
    Castilla is the reserve team of Real Madrid CF, competing in Spain’s lower professional divisions and serving as a development squad for the club’s young talents.
  • D. Castilla
    Castilla is a Spanish surname of likely toponymic origin, associated with the historical region of Castile in Spain.
  • E. Castilla
    Castilla is a residential and commercial neighborhood in Madrid, Spain, known for its mix of modern developments and traditional urban character.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3577043048190bc9bcf55069b769f completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006edfe7f08190857fc6f66f3be9a0 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006f5fdea0819093ee1b522438cdc1 completed May 10, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_6a006fd9da688190abde982bbee5ba73 completed May 10, 2026, 11:45 a.m.
Created at: April 10, 2026, 5:15 a.m.