Triple
T11735461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Tegh Bahadur |
E279013
|
entity |
| Predicate | virtuePromoted |
P101068
|
FINISHED |
| Object | religious tolerance |
—
|
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: religious tolerance | Statement: [Guru Tegh Bahadur, virtuePromoted, religious tolerance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: virtuePromoted Context triple: [Guru Tegh Bahadur, virtuePromoted, religious tolerance]
-
A.
virtuePraisedFor
Indicates that a particular virtue is being commended, admired, or spoken of approvingly by someone.
-
B.
virtue
Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
-
C.
vowedVirtue
Indicates that an entity has formally promised or committed to uphold a particular virtue or moral quality.
-
D.
virtueIllustrated
Indicates that an action, example, or situation serves to demonstrate or make clear a particular virtue.
-
E.
viewsAsVirtue
Indicates that one entity regards a particular trait, behavior, or quality as a moral virtue.
- F. None of above. chosen
Provenance (4 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.