Triple
T13140518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akshardham Temple (Delhi) |
E312198
|
entity |
| Predicate | mainSanctumHouses |
P86569
|
FINISHED |
| Object | murti of Swaminarayan |
—
|
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: murti of Swaminarayan | Statement: [Akshardham Temple (Delhi), mainSanctumHouses, murti of Swaminarayan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSanctumHouses Context triple: [Akshardham Temple (Delhi), mainSanctumHouses, murti of Swaminarayan]
-
A.
hasMainSanctum
Indicates that an entity possesses a primary or central sacred space used for core religious or spiritual activities.
-
B.
legendaryHomeOf
Indicates that a place is traditionally or mythically regarded as the home or origin of a particular figure, group, or entity.
-
C.
otherRelatedSanctums
Indicates that there exist additional sanctums that are related or connected to a given sanctum in some relevant way.
-
D.
chiefHouse
Indicates that a particular house serves as the primary or leading residence associated with a given entity (such as a person, group, or organization).
-
E.
oneOfMultipleSanctums
chosen
Indicates that an entity is one among several sanctums associated with or available to another entity.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b84f1081908b9e2d54a64d4c2d |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d9804543cc8190a23cd7da59a12a7b |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:10 p.m.