Triple

T28216161
Position Surface form Disambiguated ID Type / Status
Subject Bogotá water supply system E711318 entity
Predicate hasTreatmentPlant P11442 FINISHED
Object Tibitoc water treatment plant NE NERFINISHED

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: Tibitoc water treatment plant | Statement: [Bogotá water supply system, hasTreatmentPlant, Tibitoc water treatment plant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTreatmentPlant
Context triple: [Bogotá water supply system, hasTreatmentPlant, Tibitoc water treatment plant]
  • A. treatmentPlantCapacity
    Indicates the maximum volume or throughput of material (such as water or waste) that a treatment plant is designed to process over a given time period.
  • B. treatmentPlantLocation chosen
    Indicates the geographic location where a treatment plant is situated or operates.
  • C. usesWaterTreatment
    Indicates that an entity applies or relies on a water treatment process or system in its operations or activities.
  • D. treatsWastewaterFor
    Indicates that one entity processes and purifies wastewater on behalf of another entity or location.
  • E. hasWaterManagementStructure
    Indicates that one entity possesses, contains, or is associated with a built feature used to control, store, convey, or manage water.
  • 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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69fd4f39b5008190b83b3227ce22c509 completed May 8, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69fd4df17c548190a4e2a6fea70f7e10 completed May 8, 2026, 2:44 a.m.
Created at: April 27, 2026, 10:43 p.m.