Triple
T15298364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Disbelievers |
E365719
|
entity |
| Predicate | lengthClassification |
P88665
|
FINISHED |
| Object | short Meccan surah (mufassal section) |
—
|
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: short Meccan surah (mufassal section) | Statement: [The Disbelievers, lengthClassification, short Meccan surah (mufassal section)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthClassification Context triple: [The Disbelievers, lengthClassification, short Meccan surah (mufassal section)]
-
A.
lengthClass
chosen
Indicates a classification relationship where an entity is assigned to a category based on its length.
-
B.
lengthRegime
Indicates a specific range or category of length within which something operates, is measured, or is classified.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
dimensionOfLength
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
E.
heightClass
Indicates the categorical height level or range to which an entity is assigned (e.g., short, medium, tall).
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03686bfb8819080ba0caae652170a |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.