Triple

T19898778
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Province E478223 entity
Predicate hasMunicipality P847 FINISHED
Object Camalaniugan NE NERFINISHED

How this triple was built (2 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: Camalaniugan | Statement: [Cagayan Province, hasMunicipality, Camalaniugan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camalaniugan
Context triple: [Cagayan Province, hasMunicipality, Camalaniugan]
  • A. Camalaniugan chosen
    Camalaniugan is a municipality in the province of Cagayan in the Philippines, known for its historic churches and riverside setting along the Cagayan River.
  • B. Nambalan
    Nambalan is a barangay (village-level administrative division) of the municipality of Santa Ignacia in the province of Tarlac, Philippines.
  • C. Marawila
    Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
  • D. Miagao
    Miagao is a coastal municipality in the Philippine province of Iloilo best known for its UNESCO-listed Miagao Church, a prime example of Baroque architecture.
  • E. Himamaylan
    Himamaylan is a coastal component city in the southern part of Negros Occidental in the Philippines, known historically as one of the province’s older settlements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 1:52 p.m.