Triple
T36715830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Venezuela |
E906909
|
entity |
| Predicate | yellowStripeSymbolism |
P73472
|
FINISHED |
| Object | wealth and resources |
—
|
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: wealth and resources | Statement: [Flag of Venezuela, yellowStripeSymbolism, wealth and resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yellowStripeSymbolism Context triple: [Flag of Venezuela, yellowStripeSymbolism, wealth and resources]
-
A.
yellowStripeRepresents
chosen
Indicates that a yellow stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
B.
greenStripeMeaning
Indicates that something has a stripe colored green or marked with green striping.
-
C.
goldStripeSymbolizes
Indicates that a gold stripe is used as a symbol representing a particular quality, status, achievement, or meaning in relation to something else.
-
D.
blackStripeSymbolism
Indicates the symbolic meaning or thematic significance associated with a black stripe in a given context.
-
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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c84073648190a516706dac88bb56 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.