Triple
T18644204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata Amritanandamayi |
E455762
|
entity |
| Predicate | hasGivenDarshanTo |
P132850
|
FINISHED |
| Object | millions of people worldwide |
—
|
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: millions of people worldwide | Statement: [Mata Amritanandamayi, hasGivenDarshanTo, millions of people worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenDarshanTo Context triple: [Mata Amritanandamayi, hasGivenDarshanTo, millions of people worldwide]
-
A.
hasPilgrimageFrom
Indicates that a pilgrimage originates from or is undertaken starting at a specified location or source.
-
B.
performedYajnaFor
Indicates that one entity conducted or officiated a yajna (a Vedic ritual sacrifice) on behalf of or in honor of another entity.
-
C.
hasPresented
Indicates that one entity has formally given, delivered, or shown something (such as information, a work, or an award) to another entity.
-
D.
prayedDuring
Indicates that one entity performed prayer at some time within the duration of another specified event or time interval.
-
E.
hasAltarDedication
Indicates that an altar is dedicated to, in honor of, or in association with a particular entity or purpose.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500c36188190bfdd7aca73f3c006 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:47 a.m.