Triple
T21593708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Saudi Arabia |
E532842
|
entity |
| Predicate | reasonForNoHalfMast |
P144093
|
FINISHED |
| Object | contains Islamic creed |
—
|
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: contains Islamic creed | Statement: [Flag of Saudi Arabia, reasonForNoHalfMast, contains Islamic creed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForNoHalfMast Context triple: [Flag of Saudi Arabia, reasonForNoHalfMast, contains Islamic creed]
-
A.
hasFlagstaff
Indicates that one entity possesses, contains, or is equipped with a flagstaff (a pole or staff for displaying a flag).
-
B.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
C.
reasonForTakingHelm
Indicates the circumstance, motivation, or cause that led an entity to assume control or leadership (i.e., to take the helm).
-
D.
reasonForMissingFeature
Indicates the explanation or cause for why a particular feature is absent or not implemented.
-
E.
reasonForScuttling
Indicates the specific cause or motivation that led to a vessel being deliberately scuttled.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadf6e608190b42b26ea22c76ec6 |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63384a8fc819084c596bb53a3a1db |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 16, 2026, 6:32 p.m.