Triple

T3545035
Position Surface form Disambiguated ID Type / Status
Subject Cooum River E74974 entity
Predicate pollutionSource P48801 FINISHED
Object untreated sewage 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: untreated sewage | Statement: [Cooum River, pollutionSource, untreated sewage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pollutionSource
Context triple: [Cooum River, pollutionSource, untreated sewage]
  • A. targetPollutant
    Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
  • B. pollutant
    Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
  • C. pollutantsCovered
    Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
  • D. sedimentSource
    Indicates that one entity serves as the origin or provider of sediment that is transported to or deposited in another entity.
  • E. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • F. None of above. chosen

Provenance (4 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf77d938819095c72a88b5af644a completed March 8, 2026, 6:27 p.m.
PD Predicate disambiguation batch_69adae15749881909b847c6ca73c934e completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb0a11a1c8190baa8c0eb87ad259a completed March 8, 2026, 5:23 p.m.
Created at: March 8, 2026, 3:20 p.m.