Triple
T2586427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Nuh |
E58015
|
entity |
| Predicate | isMeccanOrMedinan |
P30310
|
FINISHED |
| Object | Meccan |
—
|
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: Meccan | Statement: [Surah Nuh, isMeccanOrMedinan, Meccan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMeccanOrMedinan Context triple: [Surah Nuh, isMeccanOrMedinan, Meccan]
-
A.
isMeccanSurah
chosen
Indicates that a given surah (chapter of the Qur’an) was revealed in Mecca (i.e., is classified as a Meccan surah) rather than in Medina.
-
B.
caliphateCapital
Indicates that one entity serves as the capital city or administrative center of a particular caliphate.
-
C.
associatedCaliph
Indicates a relationship where an entity is linked or connected to a specific caliph, typically through rule, patronage, affiliation, or historical association.
-
D.
distanceFromMecca
Indicates the measured spatial distance between a given location and the city of Mecca.
-
E.
livedDuringCaliphateOf
Indicates that one entity’s lifetime overlapped with the period during which the other entity held the position of caliph.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3f6f6ac8190abff7b8b6ff3c023 |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.