Triple

T10192310
Position Surface form Disambiguated ID Type / Status
Subject Panglao Island E238065 entity
Predicate hasBeach P1922 FINISHED
Object Alona Beach E808292 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: Alona Beach | Statement: [Panglao Island, hasBeach, Alona Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alona Beach
Context triple: [Panglao Island, hasBeach, Alona Beach]
  • A. Alona Beach chosen
    Alona Beach is a popular white-sand beach and tourist destination on Panglao Island in Bohol, Philippines, known for its diving spots, nightlife, and resort-lined shoreline.
  • B. Valtos Beach
    Valtos Beach is a popular sandy and pebbly seaside destination near Parga in northwestern Greece, known for its clear waters and scenic coastal landscape.
  • C. Dunes Beach
    Dunes Beach is a popular sandy shoreline in Ontario, Canada, known for its large sand dunes and scenic setting within Sandbanks Provincial Park.
  • D. Oceanside Beach
    Oceanside Beach is a scenic sandy shoreline on the northern Oregon coast known for its coastal views, tide pools, and access to nearby sea stacks and rock formations.
  • E. Oceanside Beach
    Oceanside Beach is a popular Southern California coastal destination known for its wide sandy shoreline, surf-friendly waves, and vibrant seaside atmosphere.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc4fb808190aae2e4b84be96f83 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f6e73a2881908563e9e6a02df944 completed April 9, 2026, 12:46 a.m.
Created at: March 30, 2026, 9:13 p.m.