Triple

T1124985
Position Surface form Disambiguated ID Type / Status
Subject Persians E24698 entity
Predicate ethnonymOrigin P453 FINISHED
Object Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
E134143 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: Parsa | Statement: [Persians, ethnonymOrigin, Parsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parsa
Context triple: [Persians, ethnonymOrigin, Parsa]
  • A. Aryamehr
    Aryamehr was an honorific title meaning "Light of the Aryans" used by Mohammad Reza Pahlavi, the last Shah of Iran, to emphasize his imperial and cultural stature.
  • B. Ramin
    Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
  • C. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • D. Esfandiyar
    Esfandiyar is a legendary Iranian prince and tragic hero in Ferdowsi’s epic Shahnameh, renowned for his invincibility and fateful confrontation with the champion Rostam.
  • E. Sana'i
    Sana'i was a pioneering 12th-century Persian Sufi poet whose mystical and didactic works profoundly shaped later poets, including Rumi.
  • 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: Parsa
Triple: [Persians, ethnonymOrigin, Parsa]
Generated description
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parsa
Target entity description: Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • A. Aryamehr
    Aryamehr was an honorific title meaning "Light of the Aryans" used by Mohammad Reza Pahlavi, the last Shah of Iran, to emphasize his imperial and cultural stature.
  • B. Ramin
    Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
  • C. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • D. Esfandiyar
    Esfandiyar is a legendary Iranian prince and tragic hero in Ferdowsi’s epic Shahnameh, renowned for his invincibility and fateful confrontation with the champion Rostam.
  • E. Sana'i
    Sana'i was a pioneering 12th-century Persian Sufi poet whose mystical and didactic works profoundly shaped later poets, including Rumi.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdaf2d4819086f480f69da127f9 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac667127008190b2aa1f3aafc87340 completed March 7, 2026, 5:54 p.m.
NEDg Description generation batch_69ac66f0e874819092d51913f08905d4 completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac676cb9a08190a83d47de80126677 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:44 p.m.