Triple

T4958337
Position Surface form Disambiguated ID Type / Status
Subject Tanaro E111341 entity
Predicate mainLeftTributary P415 FINISHED
Object Borbera
Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
 E483106 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: Borbera | Statement: [Tanaro, mainLeftTributary, Borbera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borbera
Context triple: [Tanaro, mainLeftTributary, Borbera]
  • A. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • B. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • C. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • D. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • E. Bibirevo
    Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
  • 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: Borbera
Triple: [Tanaro, mainLeftTributary, Borbera]
Generated description
Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borbera
Target entity description: Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
  • A. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • B. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • C. Borjgali
    Borjgali is an ancient Georgian symbol depicting a stylized, rotating sun often placed above a tree of life, representing eternity, vitality, and the continuity of the Georgian nation.
  • D. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • E. Bibirevo
    Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
  • 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.