Triple

T3112723
Position Surface form Disambiguated ID Type / Status
Subject Winaray E64986 entity
Predicate hasDialect P4251 FINISHED
Object Northern Samar Waray E65583 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: Northern Samar Waray | Statement: [Winaray, hasDialect, Northern Samar Waray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Samar Waray
Context triple: [Winaray, hasDialect, Northern Samar Waray]
  • A. Northern Samar chosen
    Northern Samar is a province in the Eastern Visayas region of the Philippines, known for its rugged coastlines, caves, and predominantly Waray-speaking population.
  • B. Eastern Samar
    Eastern Samar is a province in the Eastern Visayas region of the Philippines, located on the eastern portion of Samar Island and known for its coastal landscapes and predominantly Waray-speaking population.
  • C. Mindanao Cebuano
    Mindanao Cebuano is a regional variety of the Cebuano language spoken primarily in Mindanao in the southern Philippines.
  • D. Bukidnon
    Bukidnon is a landlocked, mountainous province in the Philippines known for its vast agricultural plantations, cool climate, and scenic highland landscapes.
  • E. Southern Leyte
    Southern Leyte is a province in the Eastern Visayas region of the Philippines known for its coastal landscapes, diving spots, and agricultural communities.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43b0b3c8190a828c9cfcf730ed9 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20397cbdc8190abdd93b502f9577f completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.