Triple
T14324065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-‘Asr |
E355168
|
entity |
| Predicate | isQuotedFor |
P48133
|
FINISHED |
| Object | summarizing Islamic ethics |
—
|
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: summarizing Islamic ethics | Statement: [Al-‘Asr, isQuotedFor, summarizing Islamic ethics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isQuotedFor Context triple: [Al-‘Asr, isQuotedFor, summarizing Islamic ethics]
-
A.
hasQuotationSystem
Indicates that an entity uses or is associated with a particular system or convention for representing quotations.
-
B.
verseQuoted
Indicates that one text reproduces or cites a specific verse from another text.
-
C.
quotedAgainst
Indicates that one entity is cited or quoted in opposition to, or as evidence against, another entity.
-
D.
quotedOn
chosen
Indicates that one entity is cited, referenced, or mentioned within another source, document, or context.
-
E.
hasQuotationStatus
Indicates that an entity has a particular quotation-related state or condition (such as being quoted, unquoted, or having a specific quotation status).
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.