Triple
T25456682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مكة المكرمة |
E637931
|
entity |
| Predicate | دين رئيسي |
P158550
|
FINISHED |
| Object | الإسلام |
—
|
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: الإسلام | Statement: [مكة المكرمة, دين رئيسي, الإسلام]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: دين رئيسي Context triple: [مكة المكرمة, دين رئيسي, الإسلام]
-
A.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
B.
penultimatePresidentOf
Indicates that the subject served as the second-to-last president of the object (such as a country or organization).
-
C.
partyLeaderUnitedStates
Indicates that the subject is the leader of a political party in the United States.
-
D.
currentCommanderInChief
Indicates that the subject currently holds the position of commander-in-chief over the object (typically a state’s armed forces).
-
E.
lastPresident
Indicates that one entity is the most recent individual to have held the office of president of the other entity.
- F. None of above. chosen
Provenance (4 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72756748190aa315cc00882a798 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:10 p.m.