Triple

T17614045
Position Surface form Disambiguated ID Type / Status
Subject Oglio E429035 entity
Predicate hasLeftTributary P415 FINISHED
Object Ogliolo
Ogliolo is a small river in northern Italy that serves as a left-bank tributary of the Oglio River.
E1279442 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: Ogliolo | Statement: [Oglio, hasLeftTributary, Ogliolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogliolo
Context triple: [Oglio, hasLeftTributary, Ogliolo]
  • A. Ovindoli
    Ovindoli is a mountain village and ski resort in the Abruzzo region of central Italy, known for its outdoor recreation and scenic Apennine landscapes.
  • B. Olema
    Olema is a small unincorporated community in Marin County, California, known as a gateway to Point Reyes National Seashore and the surrounding coastal countryside.
  • C. Olosega
    Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
  • D. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • E. Esosa
    Esosa is a costume designer best known for her acclaimed work on the Broadway production "Motown: The Musical."
  • 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: Ogliolo
Triple: [Oglio, hasLeftTributary, Ogliolo]
Generated description
Ogliolo is a small river in northern Italy that serves as a left-bank tributary of the Oglio River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ogliolo
Target entity description: Ogliolo is a small river in northern Italy that serves as a left-bank tributary of the Oglio River.
  • A. Ovindoli
    Ovindoli is a mountain village and ski resort in the Abruzzo region of central Italy, known for its outdoor recreation and scenic Apennine landscapes.
  • B. Olema
    Olema is a small unincorporated community in Marin County, California, known as a gateway to Point Reyes National Seashore and the surrounding coastal countryside.
  • C. Olosega
    Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
  • D. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • E. Esosa
    Esosa is a costume designer best known for her acclaimed work on the Broadway production "Motown: The Musical."
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2fd96481908c9f3b566fca6907 completed April 19, 2026, 5:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a90f17081908e7df5b2b86888ec completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020c016bec8190b31541768fbda897 completed May 11, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_6a020ce0cc0081909e9e90b9067e3f01 completed May 11, 2026, 5:07 p.m.
Created at: April 10, 2026, 5:51 a.m.