Triple

T878351
Position Surface form Disambiguated ID Type / Status
Subject Mapocho River E18971 entity
Predicate floodControlMeasures P7637 FINISHED
Object channelization works in Santiago LITERAL 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: channelization works in Santiago | Statement: [Mapocho River, floodControlMeasures, channelization works in Santiago]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: floodControlMeasures
Context triple: [Mapocho River, floodControlMeasures, channelization works in Santiago]
  • A. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • B. hasFloodProtectionProject chosen
    Indicates that a flood protection project exists or is implemented for the referenced entity.
  • C. hasSeasonalFlooding
    Indicates that an area regularly experiences flooding during specific, recurring times of the year.
  • D. dikeBreaches
    Indicates that a dike fails or ruptures, allowing water to break through its barrier.
  • E. waterInfrastructure
    Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
  • F. None of above.

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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb1dc20819095b9bb093158b60d completed March 1, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69a4aa8d47c081909b02a53e305ccf7a completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.