Triple

T3817701
Position Surface form Disambiguated ID Type / Status
Subject Prague Metro E84295 entity
Predicate hasInterchangeStation P2413 FINISHED
Object Florenc E390326 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: Florenc | Statement: [Prague Metro, hasInterchangeStation, Florenc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florenc
Context triple: [Prague Metro, hasInterchangeStation, Florenc]
  • A. Florenc chosen
    Florenc is a major interchange station on the Prague Metro, serving as a key hub connecting multiple lines and the nearby central bus terminal.
  • B. Florac
    Florac is a small historic town in southern France that serves as a gateway to the Cévennes National Park and the surrounding mountainous countryside.
  • C. Florens
    Florens is a young enslaved girl and central narrator in Toni Morrison’s novel "A Mercy," whose perspective reveals the brutal realities of early colonial America.
  • D. Ferentillo
    Ferentillo is a small Italian town in the Umbria region, known for its scenic valley setting, medieval fortifications, and proximity to outdoor activities like hiking and rafting.
  • E. Andújar
    Andújar is a historic town in the province of Jaén, Andalusia, Spain, known for its olive oil production and its location near the Sierra de Andújar Natural Park.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea5e41ec81908ed7e1ccc2713622 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f549b0819088b64ddb3f38238f completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.