Triple

T3152326
Position Surface form Disambiguated ID Type / Status
Subject Eastern Samar E65903 entity
Predicate hasMunicipality P847 FINISHED
Object San Policarpo
San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
 E333378 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: San Policarpo | Statement: [Eastern Samar, hasMunicipality, San Policarpo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Policarpo
Context triple: [Eastern Samar, hasMunicipality, San Policarpo]
  • A. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • B. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • D. Herrero
    Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
  • E. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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: San Policarpo
Triple: [Eastern Samar, hasMunicipality, San Policarpo]
Generated description
San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Policarpo
Target entity description: San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
  • A. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • B. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • D. Herrero
    Herrero is a Spanish occupational surname derived from the word for "blacksmith" or "smith."
  • E. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c27258819099c46a657779780b completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235bf4a008190ba6264103a9d67b7 completed March 12, 2026, 3:40 a.m.
NEDg Description generation batch_69b236e4efe08190ade7c1cc4b941639 completed March 12, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69b2375a75488190b3f2215c85d43f9c completed March 12, 2026, 3:47 a.m.
Created at: March 8, 2026, 3:05 p.m.