Triple

T12472460
Position Surface form Disambiguated ID Type / Status
Subject Arsk E298093 entity
Predicate hasAlternativeName P39 FINISHED
Object Arça
Arça is a town in the Republic of Tatarstan, Russia, known as a local administrative and cultural center of the Arsky District.
E985483 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: Arça | Statement: [Arsk, hasAlternativeName, Arça]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arça
Context triple: [Arsk, hasAlternativeName, Arça]
  • A. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • B. Arisbe
    Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
  • C. Goranci
    Goranci is an alternative name for the Avromani people, a small ethnic group traditionally inhabiting parts of the Balkans.
  • D. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • E. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • 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: Arça
Triple: [Arsk, hasAlternativeName, Arça]
Generated description
Arça is a town in the Republic of Tatarstan, Russia, known as a local administrative and cultural center of the Arsky District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arça
Target entity description: Arça is a town in the Republic of Tatarstan, Russia, known as a local administrative and cultural center of the Arsky District.
  • A. Arzla
    Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
  • B. Arisbe
    Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
  • C. Goranci
    Goranci is an alternative name for the Avromani people, a small ethnic group traditionally inhabiting parts of the Balkans.
  • D. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • E. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dca022c819082138fd4d08516da completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2373308190b41aafa635c8de5e completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6437e88c881909b7f1d55c11b0825 completed May 2, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69f644464c0c8190a8d4ea4914d32e7f completed May 2, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:56 p.m.