Triple
T15577693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة لهب |
E374409
|
entity |
| Predicate | تُسمى بهذا الاسم |
P118939
|
FINISHED |
| Object | نسبة إلى أبي لهب المذكور في أولها |
—
|
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: نسبة إلى أبي لهب المذكور في أولها | Statement: [سورة لهب, تُسمى بهذا الاسم, نسبة إلى أبي لهب المذكور في أولها]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُسمى بهذا الاسم Context triple: [سورة لهب, تُسمى بهذا الاسم, نسبة إلى أبي لهب المذكور في أولها]
-
A.
usesNameDueTo
Indicates that one entity adopts or applies a particular name for another entity specifically because of some motivating reason, circumstance, or dependency.
-
B.
nameOf
Indicates that one entity is the name or designation of another entity.
-
C.
oftenUsedAsNameFor
Indicates that something frequently serves as a name or designation for another entity.
-
D.
namedAccordingTo
chosen
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
-
E.
namedAs
Indicates that one entity is given, known by, or referred to using the name of another entity.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.