Triple

T5266517
Position Surface form Disambiguated ID Type / Status
Subject Guise E118949 entity
Predicate canton P3942 FINISHED
Object Guise E507468 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: Guise | Statement: [Guise, canton, Guise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guise
Context triple: [Guise, canton, Guise]
  • A. Guise chosen
    Guise is a commune in northern France known for its historic Château de Guise and its role in regional medieval and early modern history.
  • B. Bourchier
    Bourchier is an English surname historically associated with a prominent noble family involved in British political and social life.
  • C. Manceau
    Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
  • D. Franconero
    Franconero is the birth surname of American pop singer Connie Francis, one of the most successful female vocalists of the late 1950s and early 1960s.
  • E. Fulco
    Fulco is an Italian given name most notably borne by Fulco Ruffo di Calabria, a distinguished World War I flying ace and nobleman.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfabf9c819098f961243c31e508 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf187a1cf881908b45bc32c03d33be completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:51 p.m.