Triple
T19594220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soma sacrifice |
E470309
|
entity |
| Predicate | substanceTypeUsed |
P16615
|
FINISHED |
| Object | ritual intoxicant |
—
|
LITERAL FINISHED |
How this triple was built (2 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: ritual intoxicant | Statement: [Soma sacrifice, substanceTypeUsed, ritual intoxicant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: substanceTypeUsed Context triple: [Soma sacrifice, substanceTypeUsed, ritual intoxicant]
-
A.
substanceType
chosen
Indicates the specific kind or category of substance associated with an entity or relation.
-
B.
usedSubstance
Indicates that an entity has consumed, applied, or otherwise made use of a particular substance.
-
C.
hasSubstance
Indicates that one entity contains, consists of, or is composed of a particular substance or material.
-
D.
substancePersonified
Indicates that an abstract substance or concept is represented or treated as if it were a person or sentient being.
-
E.
requiresSubstance
Indicates that one entity depends on or needs a particular substance in order to function, occur, or be valid.
- F. None of above.
Provenance (3 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640793cd88190b9b84491bfb2493f |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.