Triple

T7442287
Position Surface form Disambiguated ID Type / Status
Subject Lombard language E171783 entity
Predicate hasDialect P4251 FINISHED
Object Laghée
Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
E665464 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: Laghée | Statement: [Lombard language, hasDialect, Laghée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laghée
Context triple: [Lombard language, hasDialect, Laghée]
  • A. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • B. Moindou
    Moindou is a small rural commune in the South Province of New Caledonia, known for its agricultural activities and historic penal colony sites.
  • C. Nestelghat
    Nestelghat was the nickname (bent-name) used by the Dutch Golden Age painter Leonaert Bramer within the Bentvueghels artists’ society in Rome.
  • D. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • E. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • 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: Laghée
Triple: [Lombard language, hasDialect, Laghée]
Generated description
Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laghée
Target entity description: Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
  • A. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • B. Moindou
    Moindou is a small rural commune in the South Province of New Caledonia, known for its agricultural activities and historic penal colony sites.
  • C. Nestelghat
    Nestelghat was the nickname (bent-name) used by the Dutch Golden Age painter Leonaert Bramer within the Bentvueghels artists’ society in Rome.
  • D. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • E. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36b9a3c81908abcc2a64d3e6061 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8279c9cec8190bde450f845f7d0ea completed March 28, 2026, 7:10 p.m.
NEDg Description generation batch_69c828c8b0588190a5a99380dc25d837 completed March 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69c8296962b48190b9f5cc4a66b93b91 completed March 28, 2026, 7:18 p.m.
Created at: March 27, 2026, 3:13 p.m.