Triple
T19261832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestalia |
E481665
|
entity |
| Predicate | hasTaboo |
P60363
|
FINISHED |
| Object | certain forms of business activity |
—
|
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: certain forms of business activity | Statement: [Vestalia, hasTaboo, certain forms of business activity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaboo Context triple: [Vestalia, hasTaboo, certain forms of business activity]
-
A.
tabooPeriod
Indicates a time span during which a particular action, interaction, or relationship is socially or ritually prohibited.
-
B.
tabooInTradition
chosen
Indicates that performing or engaging in the referenced action or relationship is considered forbidden or strongly disapproved of within a particular cultural or religious tradition.
-
C.
isProhibitedFor
Indicates that a certain action, object, or condition is not allowed or is forbidden for a specified entity or group.
-
D.
hasNotableWord
Indicates that an entity is associated with a word or term that is considered notable, distinctive, or significant in some context.
-
E.
hasNotableSinner
Indicates that an entity is associated with or characterized by a particularly significant or well-known sinner.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.