Triple
T37086759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Malwa |
E918308
|
entity |
| Predicate | honorificForReligion |
P28844
|
FINISHED |
| Object | Hinduism |
—
|
NE NERFINISHED |
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: Hinduism | Statement: [Queen of Malwa, honorificForReligion, Hinduism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificForReligion Context triple: [Queen of Malwa, honorificForReligion, Hinduism]
-
A.
honorificInIslam
Indicates that a particular honorific title or respectful form of address is used for someone within an Islamic religious or cultural context.
-
B.
namedForPersonReligion
Indicates that something is named after a person specifically because of that person's religious identity, role, or significance.
-
C.
honorsDeityAs
Indicates that one entity venerates, worships, or regards another entity as a particular deity or divine figure.
-
D.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
E.
honorificSense
chosen
Indicates that one entity refers to another using an honorific or respectful linguistic form.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:14 p.m.