Triple

T16302344
Position Surface form Disambiguated ID Type / Status
Subject Gros Islet District E395822 entity
Predicate containsSettlement P847 FINISHED
Object Monchy
Monchy is a small rural community in the Gros Islet District of Saint Lucia, known for its agricultural character and local cultural traditions.
 E1205045 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: Monchy | Statement: [Gros Islet District, containsSettlement, Monchy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monchy
Context triple: [Gros Islet District, containsSettlement, Monchy]
  • A. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • B. Monchyssoise
    Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
  • C. Moncho
    Moncho is a common Spanish nickname or diminutive form of the given name Ramón.
  • D. Montchavin
    Montchavin is a traditional alpine village and ski resort area that forms part of the larger La Plagne ski domain in the French Alps.
  • E. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • 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: Monchy
Triple: [Gros Islet District, containsSettlement, Monchy]
Generated description
Monchy is a small rural community in the Gros Islet District of Saint Lucia, known for its agricultural character and local cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monchy
Target entity description: Monchy is a small rural community in the Gros Islet District of Saint Lucia, known for its agricultural character and local cultural traditions.
  • A. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • B. Monchyssoise
    Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
  • C. Moncho
    Moncho is a common Spanish nickname or diminutive form of the given name Ramón.
  • D. Montchavin
    Montchavin is a traditional alpine village and ski resort area that forms part of the larger La Plagne ski domain in the French Alps.
  • E. Doncieux
    Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e3404288190a7106d62c15c3193 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a00204bc3dc8190af075707f8989e3a completed May 10, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a00215cc7a48190a5c4219d15749aa2 completed May 10, 2026, 6:10 a.m.
Created at: April 10, 2026, 5:06 a.m.