Triple
T26309332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة القتال |
E661776
|
entity |
| Predicate | hasHizbNumber |
P71346
|
FINISHED |
| Object | 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: 18 | Statement: [سورة القتال, hasHizbNumber, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHizbNumber Context triple: [سورة القتال, hasHizbNumber, 18]
-
A.
hasHizbCount
chosen
Indicates the number of hizbs (sections/parts) associated with or assigned to a given entity.
-
B.
hasJuzCount
Indicates that an entity (such as a text or document) is associated with a specific number of Juz (sections or parts).
-
C.
belongsToHizb
Indicates that an entity is a member of, affiliated with, or under the authority of Hizb.
-
D.
hizb
Indicates a relationship in which an entity is affiliated with, belongs to, or is associated with a political party or organized group.
-
E.
hasPilgrimageNumber
Indicates that an entity is associated with a specific pilgrimage identification number, typically used to track or distinguish individual pilgrimages or pilgrims.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 26, 2026, 10:21 p.m.