Triple

T19333073
Position Surface form Disambiguated ID Type / Status
Subject Itsari E483544 entity
Predicate hasAlternativeName P39 FINISHED
Object Itsar
Itsar is an alternative name for Itsari, likely referring to the same place, group, or concept under a different designation.
 E1370303 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: Itsar | Statement: [Itsari, hasAlternativeName, Itsar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Itsar
Context triple: [Itsari, hasAlternativeName, Itsar]
  • A. Thiesi
    Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
  • B. Isar
    The Isar is a major river in the Austrian and German Alps that flows through cities such as Munich before joining the Danube.
  • C. Isar
    Isar is a structured, human-readable proof language designed for writing formal proofs within the Isabelle interactive theorem prover.
  • D. Thibar
    Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
  • E. Sätra
    Sätra is a suburban district in southwestern Stockholm, Sweden, known for its residential areas and proximity to Lake Mälaren.
  • 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: Itsar
Triple: [Itsari, hasAlternativeName, Itsar]
Generated description
Itsar is an alternative name for Itsari, likely referring to the same place, group, or concept under a different designation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Itsar
Target entity description: Itsar is an alternative name for Itsari, likely referring to the same place, group, or concept under a different designation.
  • A. Thiesi
    Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
  • B. Isar
    The Isar is a major river in the Austrian and German Alps that flows through cities such as Munich before joining the Danube.
  • C. Isar
    Isar is a structured, human-readable proof language designed for writing formal proofs within the Isabelle interactive theorem prover.
  • D. Thibar
    Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
  • E. Sätra
    Sätra is a suburban district in southwestern Stockholm, Sweden, known for its residential areas and proximity to Lake Mälaren.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61642f49c81909226cfd701f7c139 completed April 20, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a071be2c2a08190bb0a00660b09e1c7 completed May 15, 2026, 1:13 p.m.
NEDg Description generation batch_6a071cdb6ecc81908a00c82b8f80613f completed May 15, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a071d4dd0048190ad7561f76915a72f completed May 15, 2026, 1:19 p.m.
Created at: April 10, 2026, 1:33 p.m.