Triple

T16544739
Position Surface form Disambiguated ID Type / Status
Subject Massongex E401912 entity
Predicate hasDemonym P191 FINISHED
Object Massongérot
A Massongérot is a resident or native of the Swiss municipality of Massongex in the canton of Valais.
E1221818 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: Massongérot | Statement: [Massongex, hasDemonym, Massongérot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massongérot
Context triple: [Massongex, hasDemonym, Massongérot]
  • A. Montgeroult
    Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
  • B. Montegnée
    Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
  • C. Genouillet
    Genouillet is a rare, old white wine grape variety from Central Europe, historically cultivated in France and believed to descend from the ancient Heunisch Weiss lineage.
  • D. Muntelier
    Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
  • E. Saussignac
    Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
  • 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: Massongérot
Triple: [Massongex, hasDemonym, Massongérot]
Generated description
A Massongérot is a resident or native of the Swiss municipality of Massongex in the canton of Valais.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Massongérot
Target entity description: A Massongérot is a resident or native of the Swiss municipality of Massongex in the canton of Valais.
  • A. Montgeroult
    Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
  • B. Montegnée
    Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
  • C. Genouillet
    Genouillet is a rare, old white wine grape variety from Central Europe, historically cultivated in France and believed to descend from the ancient Heunisch Weiss lineage.
  • D. Muntelier
    Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
  • E. Saussignac
    Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34560daf08190b353b415d8ab280d completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed9fa988190892ca20939080f5f completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fa02870819083c1b25eb4c8ffad completed May 10, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0070aee0248190b3463b98a739d1ae completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:15 a.m.