Triple

T5158664
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Turin E116378 entity
Predicate hasMajorRiver P165 FINISHED
Object Orco
The Orco is a river in northwestern Italy that flows through the Piedmont region and is a significant tributary of the Po.
 E497806 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: Orco | Statement: [Metropolitan City of Turin, hasMajorRiver, Orco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orco
Context triple: [Metropolitan City of Turin, hasMajorRiver, Orco]
  • A. Oger
    Oger is a renowned Champagne-producing village in France’s Côte des Blancs, celebrated for its high-quality Chardonnay vineyards and prestigious Grand Cru status.
  • B. Saur
    Saur is a variant form of the surname "Sauer," typically of German origin.
  • C. Gurgi
    Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
  • D. Crowle
    Crowle is a small market town and civil parish situated on the Isle of Axholme in North Lincolnshire, England.
  • E. Orcs
    Orcs are a brutal, corrupted race of humanoid creatures in J.R.R. Tolkien’s Middle-earth, typically serving dark powers like Sauron and Saruman as soldiers and raiders.
  • 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: Orco
Triple: [Metropolitan City of Turin, hasMajorRiver, Orco]
Generated description
The Orco is a river in northwestern Italy that flows through the Piedmont region and is a significant tributary of the Po.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orco
Target entity description: The Orco is a river in northwestern Italy that flows through the Piedmont region and is a significant tributary of the Po.
  • A. Oger
    Oger is a renowned Champagne-producing village in France’s Côte des Blancs, celebrated for its high-quality Chardonnay vineyards and prestigious Grand Cru status.
  • B. Saur
    Saur is a variant form of the surname "Sauer," typically of German origin.
  • C. Gurgi
    Gurgi is a timid yet loyal, creature-like companion character from Disney’s animated fantasy film "The Black Cauldron."
  • D. Crowle
    Crowle is a small market town and civil parish situated on the Isle of Axholme in North Lincolnshire, England.
  • E. Orcs
    Orcs are a brutal, corrupted race of humanoid creatures in J.R.R. Tolkien’s Middle-earth, typically serving dark powers like Sauron and Saruman as soldiers and raiders.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7904457c819090f382029ebb2b43 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed01a85f88190827a79a2c26e539f completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed254037c8190b1487b12425f8abe completed March 21, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_69bed2be57108190bc3e758c34ffc34f completed March 21, 2026, 5:17 p.m.
Created at: March 20, 2026, 1:44 p.m.