Triple

T14829289
Position Surface form Disambiguated ID Type / Status
Subject Majella National Park E348654 entity
Predicate highestPoint P210 FINISHED
Object Monte Amaro E1118172 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: Monte Amaro | Statement: [Majella National Park, highestPoint, Monte Amaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Amaro
Context triple: [Majella National Park, highestPoint, Monte Amaro]
  • A. Monte Amaro chosen
    Monte Amaro is a prominent peak in Italy’s Apennine Mountains, known for its rugged limestone landscapes and popularity among hikers and mountaineers.
  • B. Monte Renoso
    Monte Renoso is a prominent mountain in southern Corsica, France, known for its rugged terrain and scenic alpine landscapes.
  • C. Monte Castelo
    Monte Castelo is a municipality in the state of Santa Catarina in southern Brazil, known for its rural landscape and small-town character.
  • D. Monte Leone
    Monte Leone is a prominent mountain peak in the central Alps on the border between Switzerland and Italy, known for being the highest summit of the Lepontine Alps.
  • E. Monte Cavo
    Monte Cavo is a prominent volcanic peak in central Italy that forms part of the Alban Hills and has historically served as a strategic and religious site.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0737d4c8190a49bf6b013da208c completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a16fd881909d246d8d1811a673 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:51 a.m.