Triple
T5563824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | flag of Egypt |
E145830
|
entity |
| Predicate | whiteStripeSymbolism |
P4986
|
FINISHED |
| Object | peace and a bright future |
—
|
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: peace and a bright future | Statement: [flag of Egypt, whiteStripeSymbolism, peace and a bright future]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiteStripeSymbolism Context triple: [flag of Egypt, whiteStripeSymbolism, peace and a bright future]
-
A.
whiteStripeMeaning
chosen
Indicates that one entity has a white stripe pattern or marking that is significant or characteristic in the context of the relationship.
-
B.
redStripeMeaning
Indicates that something has a red-colored stripe and conveys the meaning, symbolism, or significance associated with that red stripe.
-
C.
greenStripeMeaning
Indicates that something has a stripe colored green or marked with green striping.
-
D.
pinkStripeMeaning
Indicates that something has a stripe whose color is pink.
-
E.
blueStripeMeaning
Indicates that something has the meaning, symbolism, or significance associated specifically with a blue stripe.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02032330c819094f2bc1e8c93a5b6 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.