Triple

T5266499
Position Surface form Disambiguated ID Type / Status
Subject Château de Guise E118949 entity
Predicate locatedIn P40 FINISHED
Object Guise
Guise is a commune in northern France known for its historic Château de Guise and its role in regional medieval and early modern history.
 E507468 NE FINISHED

How this triple was built (4 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: [Château de Guise, locatedIn, Guise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guise
Context triple: [Château de Guise, locatedIn, Guise]
  • A. Bourchier
    Bourchier is an English surname historically associated with a prominent noble family involved in British political and social life.
  • B. Manceau
    Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
  • C. 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.
  • D. Fulco
    Fulco is an Italian given name most notably borne by Fulco Ruffo di Calabria, a distinguished World War I flying ace and nobleman.
  • E. Tebald
    Tebald is a masculine given name of medieval European origin, from which the modern short form "Tibbets" is derived.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guise
Triple: [Château de Guise, locatedIn, Guise]
Generated description
Guise is a commune in northern France known for its historic Château de Guise and its role in regional medieval and early modern history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guise
Target entity description: Guise is a commune in northern France known for its historic Château de Guise and its role in regional medieval and early modern history.
  • A. Bourchier
    Bourchier is an English surname historically associated with a prominent noble family involved in British political and social life.
  • B. Manceau
    Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
  • C. 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.
  • D. Fulco
    Fulco is an Italian given name most notably borne by Fulco Ruffo di Calabria, a distinguished World War I flying ace and nobleman.
  • E. Tebald
    Tebald is a masculine given name of medieval European origin, from which the modern short form "Tibbets" is derived.
  • F. None of above. chosen

Provenance (5 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_69befe8e5c948190a807a99bd35f710d completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff3029dc8190b4dc5e207a2bfa03 completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.