Triple

T14503637
Position Surface form Disambiguated ID Type / Status
Subject Pangasinan E340205 entity
Predicate hasDemonym P191 FINISHED
Object Pangasinanense E526944 NE FINISHED

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: Pangasinanense | Statement: [Pangasinan, hasDemonym, Pangasinanense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pangasinanense
Context triple: [Pangasinan, hasDemonym, Pangasinanense]
  • A. Pangasinense chosen
    Pangasinense is an Austronesian language spoken primarily in the province of Pangasinan in the Philippines.
  • B. Pangasinan
    Pangasinan is a populous coastal province in the Philippines known for its rich Ilocano and Pangasinense culture, agriculture, and tourism sites such as the Hundred Islands National Park.
  • C. Pangasinan
    Pangasinan is an Austronesian language spoken primarily in the Pangasinan province and surrounding areas of northwestern Luzon in the Philippines.
  • D. Bikol Partido
    Bikol Partido is a regional language variety of the Bikol language family spoken in the Partido district of Camarines Sur in the Bicol Region of the Philippines.
  • E. Ilocos Sur
    Ilocos Sur is a coastal province in northwestern Luzon, Philippines, known for its well-preserved Spanish colonial architecture and the heritage city of Vigan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9dba1081909154362b922a2417 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.