Triple
T3208070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarbloh Granth |
E67209
|
entity |
| Predicate | statusAmongNihangs |
P38813
|
FINISHED |
| Object | regarded as one of three primary scriptures |
—
|
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: regarded as one of three primary scriptures | Statement: [Sarbloh Granth, statusAmongNihangs, regarded as one of three primary scriptures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAmongNihangs Context triple: [Sarbloh Granth, statusAmongNihangs, regarded as one of three primary scriptures]
-
A.
statusInPakistan
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Pakistan.
-
B.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
C.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
D.
statusInCommunity
chosen
Indicates the social standing, role, or level of acceptance an entity holds within a particular community.
-
E.
haka
Indicates a performance or execution of a haka, typically as a ceremonial or expressive action directed toward or in the presence of others.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa59888481908bdaefa1968d7f04 |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.