Triple

T3941727
Position Surface form Disambiguated ID Type / Status
Subject Angelmo market E92047 entity
Predicate partOf P40 FINISHED
Object Puerto Montt waterfront area E16480 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: Puerto Montt waterfront area | Statement: [Angelmo market, partOf, Puerto Montt waterfront area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Montt waterfront area
Context triple: [Angelmo market, partOf, Puerto Montt waterfront area]
  • A. Puerto Varas
    Puerto Varas is a picturesque lakeside city in southern Chile’s Los Lagos Region, known for its German-influenced architecture and views of the Osorno and Calbuco volcanoes.
  • B. Vallenar
    Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
  • C. Port of Talcahuano
    The Port of Talcahuano is a major Chilean Pacific seaport and naval base known for its commercial shipping activities and strategic maritime importance.
  • D. Puerto Aysén
    Puerto Aysén is a small port city in Chilean Patagonia that serves as a key gateway to the fjords, glaciers, and national parks of the Aysén Region.
  • E. Puerto Montt chosen
    Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfdffc48190a93ecb6115b2db33 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533912bf881909e5e5e9e4245edbf completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:24 p.m.