Triple

T13836014
Position Surface form Disambiguated ID Type / Status
Subject Pico Volcanic Complex E332527 entity
Predicate hasHighestPoint P210 FINISHED
Object Mount Pico summit E65673 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 Pico summit | Statement: [Pico Volcanic Complex, hasHighestPoint, Mount Pico summit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Pico summit
Context triple: [Pico Volcanic Complex, hasHighestPoint, Mount Pico summit]
  • A. Mount Pico chosen
    Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
  • B. Pico Mountain
    Pico Mountain is a popular ski and snowboard resort in Vermont’s Green Mountains, known for its varied terrain and family-friendly atmosphere.
  • C. Morro do Pico
    Morro do Pico is a prominent volcanic rock formation and iconic natural landmark on Fernando de Noronha, Brazil, known for its steep peak and scenic coastal views.
  • D. Mocho summit
    Mocho summit is the main peak of the Mocho-Choshuenco volcanic complex in southern Chile, known for its glaciated cone and role in the region’s Andean landscape.
  • E. Picota peak
    Picota peak is a prominent mountain summit in Portugal’s Serra de Monchique range, known for its panoramic views over the Algarve region.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029b352081909605baaedc336213 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08c21a48190b4077d5acb4ab658 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:13 p.m.