Triple

T4958333
Position Surface form Disambiguated ID Type / Status
Subject Tanaro E111341 entity
Predicate passesThrough P225 FINISHED
Object Alba
Alba is a historic town in Italy’s Piedmont region, renowned for its white truffles, fine wines, and medieval architecture.
 E483105 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: Alba | Statement: [Tanaro, passesThrough, Alba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alba
Context triple: [Tanaro, passesThrough, Alba]
  • A. Alba
    Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
  • B. Alba
    Alba is a prominent Spanish noble house historically associated with the powerful Dukes of Alba.
  • C. Alba Regia
    Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
  • D. ALBA
    ALBA (Bolivarian Alliance for the Peoples of Our America) is a regional political and economic bloc founded by left-leaning Latin American and Caribbean countries to promote social, economic, and political integration as an alternative to U.S.-backed free trade agreements.
  • E. Atilia
    Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
  • 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: Alba
Triple: [Tanaro, passesThrough, Alba]
Generated description
Alba is a historic town in Italy’s Piedmont region, renowned for its white truffles, fine wines, and medieval architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alba
Target entity description: Alba is a historic town in Italy’s Piedmont region, renowned for its white truffles, fine wines, and medieval architecture.
  • A. Alba
    Alba is the Gaelic name for the early medieval kingdom that evolved into the nation of Scotland.
  • B. Alba
    Alba is a prominent Spanish noble house historically associated with the powerful Dukes of Alba.
  • C. Alba Regia
    Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
  • D. ALBA
    ALBA (Bolivarian Alliance for the Peoples of Our America) is a regional political and economic bloc founded by left-leaning Latin American and Caribbean countries to promote social, economic, and political integration as an alternative to U.S.-backed free trade agreements.
  • E. Atilia
    Atilia was the first wife of the Roman statesman Cato the Younger and the mother of two of his children.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d834c0819087f3faafdc9b4228 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81e144a08190b66bf07e09b6ff55 completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be83b10e048190889289ac2ca9f07f completed March 21, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69be843e2e50819099b2b73498c7c16e completed March 21, 2026, 11:42 a.m.
Created at: March 20, 2026, 1:32 p.m.