Triple

T7916777
Position Surface form Disambiguated ID Type / Status
Subject El Quimbo Dam E183845 entity
Predicate constructionImpacts P54339 FINISHED
Object archaeological site flooding 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: archaeological site flooding | Statement: [El Quimbo Dam, constructionImpacts, archaeological site flooding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: constructionImpacts
Context triple: [El Quimbo Dam, constructionImpacts, archaeological site flooding]
  • A. infrastructureImpact chosen
    Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
  • B. impactBuilding
    Indicates that one entity physically collides with or strikes a building, causing an impact event.
  • C. buildingCodeImpact
    Indicates how building codes or regulations influence, constrain, or modify the design, construction, or performance of a building or related project.
  • D. transportationImpact
    Indicates how one entity’s transportation-related activities or characteristics affect another entity or the surrounding environment.
  • E. constructionChallenges
    Indicates difficulties, obstacles, or complications encountered during the process of constructing or building something.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8e8b388190b5544eb5b8159e07 completed March 31, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69cae9316e98819080be7bf1a6ff92f1 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:05 p.m.