Triple

T5246457
Position Surface form Disambiguated ID Type / Status
Subject La Force prison E118470 entity
Predicate governedBy P46 FINISHED
Object Paris authorities E221448 NE 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: Paris authorities | Statement: [La Force prison, governedBy, Paris authorities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris authorities
Context triple: [La Force prison, governedBy, Paris authorities]
  • A. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Commune of Paris
    The Commune of Paris was the revolutionary municipal government that briefly ruled the French capital in 1871, symbolizing radical socialist and democratic aspirations.
  • D. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • E. Préfecture de police de Paris chosen
    The Préfecture de police de Paris is the central police authority responsible for law enforcement, public order, and security in Paris and its immediate surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b5320748190bcf3be4b6c364f92 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef832ae8481908a90faf66c1db631 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:50 p.m.