Triple
T34111773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amrit Vela |
E874855
|
entity |
| Predicate | viewedBySikhsAs |
P178682
|
FINISHED |
| Object | gifted time for grace |
—
|
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: gifted time for grace | Statement: [Amrit Vela, viewedBySikhsAs, gifted time for grace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewedBySikhsAs Context triple: [Amrit Vela, viewedBySikhsAs, gifted time for grace]
-
A.
viewedAsByMuslims
Indicates that something is regarded or perceived in a particular way specifically by Muslims.
-
B.
viewedAsByAhmadis
Indicates how something or someone is regarded, interpreted, or perceived specifically by members of the Ahmadiyya community.
-
C.
viewedByBahaisAs
Indicates that something is regarded or interpreted in a particular way specifically by members of the Bahá'í Faith.
-
D.
viewedIslamAs
Indicates that one entity regarded or interpreted Islam in a particular way or from a specific perspective.
-
E.
viewOnHinduism
Indicates a person's stance, opinion, or perspective regarding Hinduism.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:53 a.m.