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.