Triple
T3609626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Nas |
E76453
|
entity |
| Predicate | seeksRefugeFrom |
P49930
|
FINISHED |
| Object | evil of the whisperer |
—
|
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: evil of the whisperer | Statement: [Surah An-Nas, seeksRefugeFrom, evil of the whisperer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksRefugeFrom Context triple: [Surah An-Nas, seeksRefugeFrom, evil of the whisperer]
-
A.
fledFrom
Indicates that one entity escaped or ran away from another entity or location.
-
B.
soughtAsylumAt
Indicates that an individual or group applied for protection or refuge at a particular country, institution, or authority.
-
C.
attemptedToSeekAsylumIn
Indicates that an entity tried, but may not have succeeded, to obtain asylum in a particular place or country.
-
D.
hadSanctuaryOf
Indicates that an entity possessed or hosted a sanctuary dedicated to another entity.
-
E.
countryOfAsylum
Indicates that one entity serves as the country providing asylum or refuge to another entity.
- F. None of above. chosen
Provenance (4 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22b824c8190a85b36185d4957bb |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.