Triple

T599625
Position Surface form Disambiguated ID Type / Status
Subject Milan E11464 entity
Predicate river P165 FINISHED
Object Olona
The Olona is a river in northern Italy that flows through the Lombardy region, including the city of Milan.
 E78597 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: Olona | Statement: [Milan, river, Olona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olona
Context triple: [Milan, river, Olona]
  • A. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • B. Lihou
    Lihou is a small tidal island off the west coast of Guernsey in the Channel Islands, known for its rich wildlife, historic priory ruins, and causeway access at low tide.
  • C. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • D. Melissant
    Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
  • E. Salé
    Salé is a historic coastal city in northwestern Morocco, situated across the Bou Regreg River from the capital, Rabat.
  • 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: Olona
Triple: [Milan, river, Olona]
Generated description
The Olona is a river in northern Italy that flows through the Lombardy region, including the city of Milan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olona
Target entity description: The Olona is a river in northern Italy that flows through the Lombardy region, including the city of Milan.
  • A. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • B. Lihou
    Lihou is a small tidal island off the west coast of Guernsey in the Channel Islands, known for its rich wildlife, historic priory ruins, and causeway access at low tide.
  • C. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • D. Melissant
    Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
  • E. Salé
    Salé is a historic coastal city in northwestern Morocco, situated across the Bou Regreg River from the capital, Rabat.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d78c0f08190b83ad89062ccb0b9 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56930dfd88190a991adafc406c5ac completed March 2, 2026, 10:40 a.m.
NEDg Description generation batch_69a569bac3f8819083b153b73caf31c2 completed March 2, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69a56a51e1fc8190aa00945fff740927 completed March 2, 2026, 10:45 a.m.
Created at: March 1, 2026, 7:35 p.m.