Triple

T3650321
Position Surface form Disambiguated ID Type / Status
Subject Parthian Empire E77402 entity
Predicate capital P234 FINISHED
Object Nisa
Nisa was an ancient city that served as an early royal center of the Parthian Empire, located near present-day Ashgabat in Turkmenistan.
 E376541 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: Nisa | Statement: [Parthian Empire, capital, Nisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nisa
Context triple: [Parthian Empire, capital, Nisa]
  • A. An Nisa
    An Nisa is the fourth chapter of the Quran, known for its detailed guidance on social justice, family law, and the rights and responsibilities of women and orphans in Islamic society.
  • B. The Twa Herds
    "The Twa Herds" is a satirical poem by Robert Burns that mocks religious hypocrisy and clerical disputes in 18th-century Scotland.
  • C. Green Place of Many Mothers
    The Green Place of Many Mothers is a once-fertile matriarchal oasis in the Mad Max: Fury Road universe, remembered as Imperator Furiosa’s lost childhood homeland.
  • D. Zora
    Zora is a feminine given name most famously associated with the African-American author and anthropologist Zora Neale Hurston.
  • E. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • 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: Nisa
Triple: [Parthian Empire, capital, Nisa]
Generated description
Nisa was an ancient city that served as an early royal center of the Parthian Empire, located near present-day Ashgabat in Turkmenistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nisa
Target entity description: Nisa was an ancient city that served as an early royal center of the Parthian Empire, located near present-day Ashgabat in Turkmenistan.
  • A. An Nisa
    An Nisa is the fourth chapter of the Quran, known for its detailed guidance on social justice, family law, and the rights and responsibilities of women and orphans in Islamic society.
  • B. The Twa Herds
    "The Twa Herds" is a satirical poem by Robert Burns that mocks religious hypocrisy and clerical disputes in 18th-century Scotland.
  • C. Green Place of Many Mothers
    The Green Place of Many Mothers is a once-fertile matriarchal oasis in the Mad Max: Fury Road universe, remembered as Imperator Furiosa’s lost childhood homeland.
  • D. Zora
    Zora is a feminine given name most famously associated with the African-American author and anthropologist Zora Neale Hurston.
  • E. Marita
    Marita is a feminine given name commonly used as a diminutive or affectionate form of the name Marie in various European languages.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4002948190af41072962006f51 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b4531590408190b6048b6b0335eb0a completed March 13, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69b466719c788190a70d8338b45c28ab completed March 13, 2026, 7:33 p.m.
Created at: March 8, 2026, 3:24 p.m.