Triple
T5578933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bala Hanuman Temple |
E146591
|
entity |
| Predicate | chantingMantra |
P15355
|
FINISHED |
| Object | Shri Ram, Jai Ram, Jai Jai Ram |
—
|
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: Shri Ram, Jai Ram, Jai Jai Ram | Statement: [Bala Hanuman Temple, chantingMantra, Shri Ram, Jai Ram, Jai Jai Ram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chantingMantra Context triple: [Bala Hanuman Temple, chantingMantra, Shri Ram, Jai Ram, Jai Jai Ram]
-
A.
languageOfChant
Indicates the language in which a chant is performed or expressed.
-
B.
hasChant
chosen
Indicates that an entity is associated with or characterized by a particular chant.
-
C.
meditationType
Indicates the specific kind or category of meditation practice associated with an entity.
-
D.
alsoChantedIn
Indicates that a chant, hymn, or recitation is performed or used in an additional context, location, or tradition beyond its primary one.
-
E.
meditationSubject
Indicates that one entity is the topic, focus, or object upon which another entity meditates.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206bfea08190aa2c8df9f88013ac |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.