Triple

T9553848
Position Surface form Disambiguated ID Type / Status
Subject South Coast of Peru E230490 entity
Predicate hasPort P35 FINISHED
Object Matarani E496929 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: Matarani | Statement: [South Coast of Peru, hasPort, Matarani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matarani
Context triple: [South Coast of Peru, hasPort, Matarani]
  • A. Matarani chosen
    Matarani is a major Peruvian Pacific port town that serves as a key maritime gateway for the Arequipa Region and southern Peru.
  • B. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • C. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • D. Makaroa
    Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
  • E. Mitiaro
    Mitiaro is a small, sparsely populated coral atoll in the southern Cook Islands known for its limestone caves, freshwater lakes, and traditional Polynesian lifestyle.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99217de48190b528e14fd02ee987 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1528bd99881909e3f51472a99917f completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8:02 p.m.