Triple
T5422288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisān al-Ghayb |
E121279
|
entity |
| Predicate | attributedQuality |
P50780
|
FINISHED |
| Object | prophetic-like intuition |
—
|
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: prophetic-like intuition | Statement: [Lisān al-Ghayb, attributedQuality, prophetic-like intuition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attributedQuality Context triple: [Lisān al-Ghayb, attributedQuality, prophetic-like intuition]
-
A.
associatedWithQuality
chosen
Indicates that an entity is linked to, characterized by, or possesses a particular quality or attribute.
-
B.
quality
Indicates that an entity possesses a particular attribute, characteristic, or degree of excellence that defines how good, suitable, or effective it is in a given context.
-
C.
storageQuality
Indicates the degree or standard of how well something is stored, such as its preservation, safety, or suitability for use.
-
D.
opposedQualityTo
Indicates that one quality stands in direct opposition or contrast to another quality.
-
E.
fieldQuality
Indicates the assessed level or degree of quality associated with a particular field or attribute in a given context.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87ec45c48190a8a25bf582b02440 |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.