Triple

T19898796
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Province E478223 entity
Predicate hasMunicipality P847 FINISHED
Object Sanchez-Mira
Sanchez-Mira is a coastal municipality in the province of Cagayan in the Philippines, known for its rural landscapes and agricultural economy.
E1401392 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: Sanchez-Mira | Statement: [Cagayan Province, hasMunicipality, Sanchez-Mira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanchez-Mira
Context triple: [Cagayan Province, hasMunicipality, Sanchez-Mira]
  • A. Martínez-Bordiú
    Martínez-Bordiú is a Spanish surname notably associated with the family of Francisco Franco through his grandson Francisco de Asís Martínez-Bordiú y Franco.
  • B. Miralles
    Miralles is a Catalan surname most notably associated with the Spanish architect Enric Miralles.
  • C. González Mateos
    González Mateos is a Spanish-language surname, notably borne by individuals such as Francisca González Mateos.
  • D. Sarroch
    Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
  • E. Pérez-Castejón
    Pérez-Castejón is the compound surname of Spanish politician Pedro Sánchez, reflecting his paternal and maternal family lineages.
  • 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: Sanchez-Mira
Triple: [Cagayan Province, hasMunicipality, Sanchez-Mira]
Generated description
Sanchez-Mira is a coastal municipality in the province of Cagayan in the Philippines, known for its rural landscapes and agricultural economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sanchez-Mira
Target entity description: Sanchez-Mira is a coastal municipality in the province of Cagayan in the Philippines, known for its rural landscapes and agricultural economy.
  • A. Martínez-Bordiú
    Martínez-Bordiú is a Spanish surname notably associated with the family of Francisco Franco through his grandson Francisco de Asís Martínez-Bordiú y Franco.
  • B. Miralles
    Miralles is a Catalan surname most notably associated with the Spanish architect Enric Miralles.
  • C. González Mateos
    González Mateos is a Spanish-language surname, notably borne by individuals such as Francisca González Mateos.
  • D. Sarroch
    Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
  • E. Pérez-Castejón
    Pérez-Castejón is the compound surname of Spanish politician Pedro Sánchez, reflecting his paternal and maternal family lineages.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593fbb348190afa7acf45af406ed completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea42b8c88190922819539e4b640b completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07eaffbc748190b33574e2868f94c5 completed May 16, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_6a07eb617a3c8190a0538feb7bc962cd completed May 16, 2026, 3:58 a.m.
Created at: April 10, 2026, 1:52 p.m.