Triple

T20650158
Position Surface form Disambiguated ID Type / Status
Subject Guise E507468 entity
Predicate hasDemonym P191 FINISHED
Object Guisien
Guisien is the French demonym for an inhabitant of the town of Guise in northern France.
E1442404 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: Guisien | Statement: [Guise, hasDemonym, Guisien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guisien
Context triple: [Guise, hasDemonym, Guisien]
  • A. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • B. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • C. Garanhuns
    Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
  • D. Degioz
    Degioz is a small alpine village that serves as the main settlement and administrative center of the Valsavarenche valley in Italy’s Aosta Valley region.
  • E. Louletanos
    Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • 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: Guisien
Triple: [Guise, hasDemonym, Guisien]
Generated description
Guisien is the French demonym for an inhabitant of the town of Guise in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guisien
Target entity description: Guisien is the French demonym for an inhabitant of the town of Guise in northern France.
  • A. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • B. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • C. Garanhuns
    Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
  • D. Degioz
    Degioz is a small alpine village that serves as the main settlement and administrative center of the Valsavarenche valley in Italy’s Aosta Valley region.
  • E. Louletanos
    Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c59354388190b5c2a0c1bdd14575 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c648e35881908c480b0afa383422 completed May 16, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6c6f9608190bdbcdd58f6b14008 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:43 a.m.