Triple
T18975917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata Sahib Kaur |
E464294
|
entity |
| Predicate | roleInFaith |
P9873
|
FINISHED |
| Object | exemplar of Sikh womanhood |
—
|
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: exemplar of Sikh womanhood | Statement: [Mata Sahib Kaur, roleInFaith, exemplar of Sikh womanhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFaith Context triple: [Mata Sahib Kaur, roleInFaith, exemplar of Sikh womanhood]
-
A.
religiousOrientationRole
Indicates a role or position that an entity holds in relation to a particular religious orientation or affiliation.
-
B.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
-
C.
theologicalRole
chosen
Indicates a relationship where an entity holds or is assigned a specific function, office, or status within a theological or religious framework.
-
D.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
-
E.
regionReligiousRole
Indicates the role or function that religion plays within a particular region, such as its religious status, significance, or designated religious purpose.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d61f96c88190b9a25158e0b012ca |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon