Triple

T2656671
Position Surface form Disambiguated ID Type / Status
Subject Senne E54627 entity
Predicate historicallyPolluted P42021 FINISHED
Object true 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: true | Statement: [Senne, historicallyPolluted, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyPolluted
Context triple: [Senne, historicallyPolluted, true]
  • A. historicallyPollutedBy
    Indicates that an entity has experienced pollution in the past as a result of actions or emissions from another entity.
  • B. wasHeavilyPollutedDuring
    Indicates that a place or environment experienced a high level of pollution during a specified time period.
  • C. historicallyIn
    Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
  • D. historicallyConsidered
    Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
  • E. historicallyBorneBy
    Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abda0ba2208190ad87763ecbef8c3c completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd815d06481909535c02b0aba8553 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abda0a13308190a986df86270258a7 completed March 7, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:53 p.m.