Triple
T13451591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lote Tree of the Utmost Boundary |
E320619
|
entity |
| Predicate | isMentionedInVerseRange |
P93494
|
FINISHED |
| Object | Qur’an 53:13–18 |
—
|
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: Qur’an 53:13–18 | Statement: [Lote Tree of the Utmost Boundary, isMentionedInVerseRange, Qur’an 53:13–18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMentionedInVerseRange Context triple: [Lote Tree of the Utmost Boundary, isMentionedInVerseRange, Qur’an 53:13–18]
-
A.
hasVerseRange
Indicates a relationship where a text or passage is associated with a specific contiguous range of verses it spans.
-
B.
containsVerse
Indicates that one entity (typically a text or collection) includes a specific verse as part of its content.
-
C.
containsVerseType
Indicates that one entity includes or is associated with a specific type or category of verse.
-
D.
hasVersesIn
Indicates that one entity (typically a text, chapter, or section) contains or is composed of verses found within another entity (such as a book, collection, or scripture).
-
E.
hasQuranicVerseReference
chosen
Indicates that an entity is associated with, or refers to, a specific verse or verses from the Quran.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaefae85481909e6a59797cbb25e7 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.