Triple

T6653753
Position Surface form Disambiguated ID Type / Status
Subject Langhe E150888 entity
Predicate hasSubregion P285 FINISHED
Object Bassa Langa
Bassa Langa is the southern, lower-lying part of Italy’s Langhe area, known for its rolling hills, vineyards, and traditional Piedmontese wine and food culture.
 E616328 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: Bassa Langa | Statement: [Langhe, hasSubregion, Bassa Langa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bassa Langa
Context triple: [Langhe, hasSubregion, Bassa Langa]
  • A. Thaba Nchu
    Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
  • B. Chindau
    Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
  • C. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • D. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • E. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • 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: Bassa Langa
Triple: [Langhe, hasSubregion, Bassa Langa]
Generated description
Bassa Langa is the southern, lower-lying part of Italy’s Langhe area, known for its rolling hills, vineyards, and traditional Piedmontese wine and food culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bassa Langa
Target entity description: Bassa Langa is the southern, lower-lying part of Italy’s Langhe area, known for its rolling hills, vineyards, and traditional Piedmontese wine and food culture.
  • A. Thaba Nchu
    Thaba Nchu is a town in South Africa’s Free State province, historically a Tswana settlement and now a satellite town of Bloemfontein.
  • B. Chindau
    Chindau is a Bantu language spoken primarily by the Ndau people in parts of Mozambique and Zimbabwe.
  • C. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • D. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • E. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b047eb688190bca86be98ac25e39 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70aecac7c8190856b9ae9f042546b completed March 27, 2026, 10:55 p.m.
NEDg Description generation batch_69c70bbfd100819083c9d1fc94051abf completed March 27, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69c70c755054819087d0db6f94d69eae completed March 27, 2026, 11:02 p.m.
Created at: March 27, 2026, 2:01 p.m.