Triple
T11431871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurpurab of Guru Gobind Singh |
E270902
|
entity |
| Predicate | primaryPlacesOfWorship |
P1191
|
FINISHED |
| Object | gurdwaras |
—
|
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: gurdwaras | Statement: [Gurpurab of Guru Gobind Singh, primaryPlacesOfWorship, gurdwaras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPlacesOfWorship Context triple: [Gurpurab of Guru Gobind Singh, primaryPlacesOfWorship, gurdwaras]
-
A.
hasPlaceOfWorship
chosen
Indicates that an entity possesses, contains, or is associated with a designated location used for religious or spiritual worship.
-
B.
isPlaceOfWorshipFor
Indicates that a location serves as a site where members of a particular religion or belief system perform worship or religious practices.
-
C.
inReligiousStructure
Indicates that one entity is located within or inside a building or structure used for religious purposes.
-
D.
religiousBuildingDedicatedTo
Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
-
E.
majorRegionOfWorship
Indicates the primary geographic region where a deity, religion, or cult is predominantly worshipped.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.