Triple

T8939162
Position Surface form Disambiguated ID Type / Status
Subject Bora Bora E212852 entity
Predicate hasAttraction P105 FINISHED
Object Mount Otemanu E770871 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: Mount Otemanu | Statement: [Bora Bora, hasAttraction, Mount Otemanu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Otemanu
Context triple: [Bora Bora, hasAttraction, Mount Otemanu]
  • A. Mount Otemanu chosen
    Mount Otemanu is a dramatic, jagged volcanic peak on the island of Bora Bora in French Polynesia, renowned as an iconic backdrop for the island’s lagoons and resorts.
  • B. Mount Heha
    Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
  • C. Mount Noro
    Mount Noro is a scenic mountain in Kure, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing opportunities.
  • D. Mount Ochi
    Mount Ochi is a prominent mountain in southern Euboea, Greece, known for its rugged landscape, hiking trails, and ancient drakospita (dragon houses) stone structures near its summit.
  • E. Mount Ayu-Dag
    Mount Ayu-Dag is a prominent, dome-shaped coastal mountain on the southern Crimean coast, known for its distinctive silhouette and natural and historical significance.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b7484481909e0d7610552f5386 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb856560819085132abe9ef94819 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:58 p.m.