Triple
T16608448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yasna |
E403504
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object |
Haoma
Haoma is a sacred plant and its deified spirit in Zoroastrianism, central to ritual offerings and associated with purification, vitality, and divine inspiration.
|
E1222719
|
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: Haoma | Statement: [Yasna, uses, Haoma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haoma Context triple: [Yasna, uses, Haoma]
-
A.
Wormwood
Wormwood is a 2017 Netflix docudrama miniseries by Errol Morris that blends documentary interviews with dramatized scenes to explore the mysterious death of scientist Frank Olson and the CIA’s MK-Ultra program.
-
B.
Wormwood
"Wormwood" is a crime novel by David Levien, known for its gritty, suspenseful storytelling and exploration of the darker sides of human nature.
-
C.
Sahl Hasheesh
Sahl Hasheesh is a modern Red Sea coastal resort town in Egypt known for its luxury hotels, beaches, and diving and snorkeling sites.
-
D.
Qumis
Qumis was an ancient historical region in north-central Iran, situated along key trade routes and adjacent to Tabaristan.
-
E.
Homa
Homa is the surname of American professional golfer Max Homa, a multiple-time PGA Tour winner.
- 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: Haoma Triple: [Yasna, uses, Haoma]
Generated description
Haoma is a sacred plant and its deified spirit in Zoroastrianism, central to ritual offerings and associated with purification, vitality, and divine inspiration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haoma Target entity description: Haoma is a sacred plant and its deified spirit in Zoroastrianism, central to ritual offerings and associated with purification, vitality, and divine inspiration.
-
A.
Wormwood
Wormwood is a 2017 Netflix docudrama miniseries by Errol Morris that blends documentary interviews with dramatized scenes to explore the mysterious death of scientist Frank Olson and the CIA’s MK-Ultra program.
-
B.
Wormwood
"Wormwood" is a crime novel by David Levien, known for its gritty, suspenseful storytelling and exploration of the darker sides of human nature.
-
C.
Sahl Hasheesh
Sahl Hasheesh is a modern Red Sea coastal resort town in Egypt known for its luxury hotels, beaches, and diving and snorkeling sites.
-
D.
Qumis
Qumis was an ancient historical region in north-central Iran, situated along key trade routes and adjacent to Tabaristan.
-
E.
Homa
Homa is the surname of American professional golfer Max Homa, a multiple-time PGA Tour winner.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36093901881909b85af47f75879a9 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aa79408190b395d4cd9c6c1cb7 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a00768e9720819094d4e11ee1e100d6 |
completed | May 10, 2026, 12:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:17 a.m.