Triple

T4427157
Position Surface form Disambiguated ID Type / Status
Subject Rayy E95236 entity
Predicate hasAlternativeName P39 FINISHED
Object Arsacia
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
 E438452 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: Arsacia | Statement: [Rayy, hasAlternativeName, Arsacia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arsacia
Context triple: [Rayy, hasAlternativeName, Arsacia]
  • A. Naousa
    Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
  • B. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • C. Vacalea
    Vacalea is a small rural village located on Kadavu Island in Fiji.
  • D. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • E. Thalassa
    Thalassa is a primordial sea goddess in Greek mythology, personifying the sea itself and associated with the origins of marine life.
  • 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: Arsacia
Triple: [Rayy, hasAlternativeName, Arsacia]
Generated description
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arsacia
Target entity description: Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • A. Naousa
    Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
  • B. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • C. Vacalea
    Vacalea is a small rural village located on Kadavu Island in Fiji.
  • D. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • E. Thalassa
    Thalassa is a primordial sea goddess in Greek mythology, personifying the sea itself and associated with the origins of marine life.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554fb28081909018eaecc0c5c230 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f633a69c8190b062c2a78b0f8319 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6bcfa0481909d07ffb2a975a350 completed March 15, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69b5f733c660819081c68dc3ec342e12 completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:30 p.m.