Triple
T35457398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogihriday Kamal garden |
E1024812
|
entity |
| Predicate | isPartOfExperience |
P200628
|
FINISHED |
| Object | Akshardham cultural and spiritual complex visit |
—
|
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: Akshardham cultural and spiritual complex visit | Statement: [Yogihriday Kamal garden, isPartOfExperience, Akshardham cultural and spiritual complex visit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfExperience Context triple: [Yogihriday Kamal garden, isPartOfExperience, Akshardham cultural and spiritual complex visit]
-
A.
providesExperienceOf
Indicates that one entity enables or delivers the experience of another entity to someone or something.
-
B.
mayExperience
Indicates that an entity is capable of undergoing, feeling, or being subject to a particular event, state, or condition.
-
C.
describesExperienceOf
Indicates that one entity provides a description or account of the experience undergone by another entity.
-
D.
experienceFeature
Indicates that an entity undergoes, encounters, or makes use of a particular feature.
-
E.
isPartOfAttraction
Indicates that something is a component or sub-element within a larger attraction or point of interest.
- 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9bed58dc8190a204816d4ed6c32c |
completed | May 9, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69ff9b69653c81908ab0d88055a66a88 |
completed | May 9, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69ff9bec9d748190869caebf6bf0c78f |
completed | May 9, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:04 p.m.