Triple

T3033413
Position Surface form Disambiguated ID Type / Status
Subject Albertville E82950 entity
Predicate locatedOnRiver P165 FINISHED
Object Arly
Arly is a river in southeastern France that flows through the town of Albertville in the Savoie region.
 E321440 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: Arly | Statement: [Albertville, locatedOnRiver, Arly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arly
Context triple: [Albertville, locatedOnRiver, Arly]
  • A. Alby
    Alby is a residential suburban locality within Botkyrka Municipality in the Stockholm metropolitan area of Sweden.
  • B. Allyn
    Allyn is a small unincorporated waterfront community located on the shores of North Bay in Mason County, Washington.
  • C. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • D. Arielle
    Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
  • E. Zaza
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • 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: Arly
Triple: [Albertville, locatedOnRiver, Arly]
Generated description
Arly is a river in southeastern France that flows through the town of Albertville in the Savoie region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arly
Target entity description: Arly is a river in southeastern France that flows through the town of Albertville in the Savoie region.
  • A. Alby
    Alby is a residential suburban locality within Botkyrka Municipality in the Stockholm metropolitan area of Sweden.
  • B. Allyn
    Allyn is a small unincorporated waterfront community located on the shores of North Bay in Mason County, Washington.
  • C. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • D. Arielle
    Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
  • E. Zaza
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9af13ce48190bda4f5ca0ffe6285 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dec30d8081909d6ee691e5e51434 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1e297ddc0819092942cdf8a4f9440 completed March 11, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69b1e2f519108190883ee481b763b67f completed March 11, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:01 p.m.