Triple

T16396972
Position Surface form Disambiguated ID Type / Status
Subject San Felipe, Zambales E398207 entity
Predicate hasBarangay P29835 FINISHED
Object Rosete
Rosete is a barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
 E1209602 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: Rosete | Statement: [San Felipe, Zambales, hasBarangay, Rosete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosete
Context triple: [San Felipe, Zambales, hasBarangay, Rosete]
  • A. Rosette
    Rosette is a small wine-producing appellation in the Bergerac region of southwestern France, known primarily for its sweet white wines.
  • B. Crosetto
    Crosetto is an Italian surname most notably associated with Guido Crosetto, a prominent Italian politician and businessman.
  • C. La Rosalie
    La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
  • D. Rosing
    Rosing is a surname most notably associated with Danish-American character actress Bodil Rosing, who appeared in numerous Hollywood films in the early 20th century.
  • E. Schoen
    Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
  • 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: Rosete
Triple: [San Felipe, Zambales, hasBarangay, Rosete]
Generated description
Rosete is a barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rosete
Target entity description: Rosete is a barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
  • A. Rosette
    Rosette is a small wine-producing appellation in the Bergerac region of southwestern France, known primarily for its sweet white wines.
  • B. Crosetto
    Crosetto is an Italian surname most notably associated with Guido Crosetto, a prominent Italian politician and businessman.
  • C. La Rosalie
    La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
  • D. Rosing
    Rosing is a surname most notably associated with Danish-American character actress Bodil Rosing, who appeared in numerous Hollywood films in the early 20th century.
  • E. Schoen
    Schoen is a German-origin surname borne by various notable individuals in fields such as mathematics, science, and the arts.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cb3c708190b64341cb1410ed81 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a0035ea77dc8190bda37dac2710d0e3 completed May 10, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0036e53f2c81908f04a5e51870040c completed May 10, 2026, 7:42 a.m.
Created at: April 10, 2026, 5:09 a.m.