Triple

T18536200
Position Surface form Disambiguated ID Type / Status
Subject Melincourt Brook E452971 entity
Predicate near P350 FINISHED
Object Melincourt
Melincourt is a small locality in Wales known for its scenic surroundings, including the nearby Melincourt Brook and waterfall.
E1328803 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: Melincourt | Statement: [Melincourt Brook, near, Melincourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melincourt
Context triple: [Melincourt Brook, near, Melincourt]
  • A. Elincourt
    Elincourt is a small commune in northern France, situated within the administrative area of the Nord department.
  • B. Magnicourt
    Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
  • C. Guignicourt
    Guignicourt is a commune in northern France located in the Aisne department in the Hauts-de-France region.
  • D. Pontois
    Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
  • E. Montferrier
    Montferrier is a small commune in the Ariège department of southwestern France, situated in the foothills of the Pyrenees.
  • 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: Melincourt
Triple: [Melincourt Brook, near, Melincourt]
Generated description
Melincourt is a small locality in Wales known for its scenic surroundings, including the nearby Melincourt Brook and waterfall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Melincourt
Target entity description: Melincourt is a small locality in Wales known for its scenic surroundings, including the nearby Melincourt Brook and waterfall.
  • A. Elincourt
    Elincourt is a small commune in northern France, situated within the administrative area of the Nord department.
  • B. Magnicourt
    Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
  • C. Guignicourt
    Guignicourt is a commune in northern France located in the Aisne department in the Hauts-de-France region.
  • D. Pontois
    Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
  • E. Montferrier
    Montferrier is a small commune in the Ariège department of southwestern France, situated in the foothills of the Pyrenees.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5340256d08190bf22d2cb064413b2 completed April 19, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04917d2530819085469bde7a83c138 completed May 13, 2026, 2:58 p.m.
NEDg Description generation batch_6a0492594a248190941912120fb77acb completed May 13, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0492d4811c8190ad177b5d52aba66c completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:37 a.m.