Triple
T14019453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ash-Sharh |
E337288
|
entity |
| Predicate | hasKeyVerseRepetition |
P87065
|
FINISHED |
| Object | the statement about hardship and ease is repeated twice |
—
|
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: the statement about hardship and ease is repeated twice | Statement: [Ash-Sharh, hasKeyVerseRepetition, the statement about hardship and ease is repeated twice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyVerseRepetition Context triple: [Ash-Sharh, hasKeyVerseRepetition, the statement about hardship and ease is repeated twice]
-
A.
hasRepetition
chosen
Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
-
B.
hasMultipleVerses
Indicates that something, typically a song, poem, or text, consists of more than one verse.
-
C.
hasVerseCount
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
-
D.
usesRepetition
Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
-
E.
hasVerseOrder
Indicates that one verse is ordered or sequenced in relation to another verse within a structured text.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.