Triple
T24294920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safar |
E605930
|
entity |
| Predicate | modernPerception |
P25075
|
FINISHED |
| Object | primarily a regular month in the Islamic year |
—
|
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: primarily a regular month in the Islamic year | Statement: [Safar, modernPerception, primarily a regular month in the Islamic year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernPerception Context triple: [Safar, modernPerception, primarily a regular month in the Islamic year]
-
A.
hasViewOnModernity
chosen
Indicates that an entity holds a particular perspective, stance, or interpretation regarding modernity.
-
B.
modernInterpretation
Indicates that one entity is a contemporary or updated interpretation, reading, or understanding of another entity.
-
C.
modernInfluence
Indicates that one entity has a shaping or impactful effect on another within a contemporary or current context.
-
D.
modernExistence
Indicates that an entity exists or is present in the contemporary or current time period.
-
E.
modernRevivalIn
Indicates that something has experienced a renewed or modern resurgence, popularity, or reinterpretation within a specified place, context, or period.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f291593c0881908a6827f0d8899fe6 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.