Triple

T3327807
Position Surface form Disambiguated ID Type / Status
Subject Horta E69958 entity
Predicate hasViewOf P854 FINISHED
Object Pico Mountain 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: Pico Mountain | Statement: [Horta, hasViewOf, Pico Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pico Mountain
Context triple: [Horta, hasViewOf, Pico Mountain]
  • A. Mount Pico chosen
    Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
  • B. 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.
  • C. Monte Patria
    Monte Patria is a rural municipality and town in Chile’s Coquimbo Region, known for its agricultural production and scenic valleys.
  • D. Mount Giona
    Mount Giona is a prominent mountain massif in central Greece known for its rugged terrain and significant elevation among the country’s highest peaks.
  • E. Monte Perdido
    Monte Perdido is the third-highest mountain in the Pyrenees, renowned for its dramatic limestone massif and location within Spain’s Ordesa y Monte Perdido National Park.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16f61248190bab10f4ac9e066f7 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7ce34c81908df0c30a41fd925c completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:12 p.m.