Triple
T3973630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avesta |
E85589
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Yasna
Yasna is a central Zoroastrian liturgical ceremony and its associated collection of sacred texts, forming one of the core sections of the Avesta.
|
E403504
|
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: Yasna | Statement: [Avesta, hasPart, Yasna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasna Context triple: [Avesta, hasPart, Yasna]
-
A.
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.
-
B.
Hawiyah
Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
-
C.
Hormuzd
Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
-
D.
Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
-
E.
Taftan
Taftan is a town in Pakistan’s Balochistan province known as a key border crossing and trade gateway between Pakistan and Iran.
- 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: Yasna Triple: [Avesta, hasPart, Yasna]
Generated description
Yasna is a central Zoroastrian liturgical ceremony and its associated collection of sacred texts, forming one of the core sections of the Avesta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yasna Target entity description: Yasna is a central Zoroastrian liturgical ceremony and its associated collection of sacred texts, forming one of the core sections of the Avesta.
-
A.
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.
-
B.
Hawiyah
Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
-
C.
Hormuzd
Hormuzd is a masculine given name most notably borne by Hormuzd Rassam, a 19th-century Assyriologist and archaeologist known for his discoveries of ancient Mesopotamian artifacts.
-
D.
Parsa
Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
-
E.
Taftan
Taftan is a town in Pakistan’s Balochistan province known as a key border crossing and trade gateway between Pakistan and Iran.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef99837cc8190b8b2464707f5e334 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540139c2c819080aa19b13540c76a |
completed | March 14, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69b540ec36a4819082a9cbefc99bd683 |
completed | March 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5416d182c81908b1ae43ed097d288 |
completed | March 14, 2026, 11:07 a.m. |
Created at: March 9, 2026, 3:32 p.m.