Triple

T27451541
Position Surface form Disambiguated ID Type / Status
Subject Páez River E692454 entity
Predicate naturalDisasterEvent P155803 FINISHED
Object 1994 Páez River disaster
The 1994 Páez River disaster was a catastrophic series of landslides and floods in Colombia’s Cauca and Huila departments that devastated numerous communities and caused thousands of deaths and widespread destruction.
 E1772330 NE FINISHED

How this triple was built (3 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: 1994 Páez River disaster | Statement: [Páez River, naturalDisasterEvent, 1994 Páez River disaster]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 1994 Páez River disaster
Triple: [Páez River, naturalDisasterEvent, 1994 Páez River disaster]
Generated description
The 1994 Páez River disaster was a catastrophic series of landslides and floods in Colombia’s Cauca and Huila departments that devastated numerous communities and caused thousands of deaths and widespread destruction.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: naturalDisasterEvent
Context triple: [Páez River, naturalDisasterEvent, 1994 Páez River disaster]
  • A. notableDisasterType
    Indicates the specific kind or category of disaster for which something (such as a place, event, or entity) is notable or best known.
  • B. typeOfDisaster chosen
    Indicates that one entity is classified as a specific kind or category of disaster in relation to another entity.
  • C. disasterName
    Indicates the specific name or title assigned to a particular disaster event.
  • D. frequentNaturalHazard
    Indicates that a location or area regularly experiences natural hazards such as floods, earthquakes, storms, or similar events with notable frequency.
  • E. disasterOrWeatherTheme
    Indicates that something is associated with, characterized by, or thematically focused on disasters or weather-related events.
  • F. None of above.

Provenance (6 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_69ef5206c9248190b5975c2a7f9d229c completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b25e49e481908f3eb00ca2b783ac completed May 24, 2026, 8:10 a.m.
NEDg Description generation batch_6a12b3d5fee88190ac3967d51bd879a3 completed May 24, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a12b456bad48190b232cd4968f2b041 completed May 24, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69f641dc8ff48190ab575d855616580c completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 12:47 p.m.