Triple

T15409558
Position Surface form Disambiguated ID Type / Status
Subject Ulan-Ulan Falls E368548 entity
Predicate locatedIn P40 FINISHED
Object Biliran Province E342589 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: Biliran Province | Statement: [Ulan-Ulan Falls, locatedIn, Biliran Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biliran Province
Context triple: [Ulan-Ulan Falls, locatedIn, Biliran Province]
  • A. Biliran Province chosen
    Biliran Province is a small island province in the Eastern Visayas region of the Philippines, known for its volcanic landscapes, waterfalls, and coastal scenery.
  • B. Madang Province
    Madang Province is a coastal region of Papua New Guinea known for its linguistic diversity, including the Bel languages, and its rich marine and mountainous landscapes.
  • C. Simbu Province
    Simbu Province is a mountainous inland province in central Papua New Guinea known for its rugged terrain, highland cultures, and traditional agricultural communities.
  • D. Luya Province
    Luya Province is an administrative province in northern Peru known for its archaeological sites, cloud forests, and location within the Amazonas Region.
  • E. Bagua Province
    Bagua Province is an administrative province in northern Peru known for its location within the Amazonas Region and its mix of Andean and Amazonian geographic and cultural features.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135d65988190b35392bdf1e45985 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.